Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
23899
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mdbk |
| Upload Date | August 17 2024 01:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 VISION D-P |
| Motherboard | Gigabyte Technology Co., Ltd. B550 VISION D-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10112
1.89 KIPS |
|
|
Image Classification (F16)
|
100% |
10534
1.97 KIPS |
|
|
Image Classification (I8)
|
100% |
9134
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16104
269.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
16466
275.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
15476
258.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
266007
322.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
273622
331.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
236420
286.3 IPS |
|
|
Object Detection (F32)
|
100% |
6277
468.6 IPS |
|
|
Object Detection (F16)
|
100% |
6363
475.1 IPS |
|
|
Object Detection (I8)
|
54% |
6076
453.6 IPS |
|
|
Face Detection (F32)
|
100% |
35717
424.7 IPS |
|
|
Face Detection (F16)
|
100% |
36212
430.6 IPS |
|
|
Face Detection (I8)
|
88% |
31452
374.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
65161
505.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
61493
476.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
49662
385.1 IPS |
|
|
Style Transfer (F32)
|
100% |
392735
516.6 IPS |
|
|
Style Transfer (F16)
|
100% |
388884
511.5 IPS |
|
|
Style Transfer (I8)
|
98% |
339448
446.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43044
1.54 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44034
1.57 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31646
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
2565
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2564
3.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1653
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
4380
80.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4453
81.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2526
46.5 IPS |
