Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench ML Score
16139
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 12:36 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7763
1.45 KIPS |
|
|
Image Classification (F16)
|
100% |
8329
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
5463
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13133
219.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13141
219.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9780
163.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
120141
145.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
120257
145.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
93936
113.8 IPS |
|
|
Object Detection (F32)
|
100% |
5437
405.9 IPS |
|
|
Object Detection (F16)
|
100% |
5383
401.9 IPS |
|
|
Object Detection (I8)
|
56% |
4351
324.8 IPS |
|
|
Face Detection (F32)
|
100% |
25880
307.7 IPS |
|
|
Face Detection (F16)
|
100% |
26733
317.9 IPS |
|
|
Face Detection (I8)
|
89% |
18053
214.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
53494
414.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48541
376.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
30322
235.1 IPS |
|
|
Style Transfer (F32)
|
100% |
211428
278.1 IPS |
|
|
Style Transfer (F16)
|
100% |
211432
278.1 IPS |
|
|
Style Transfer (I8)
|
98% |
156976
206.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30565
1.09 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30893
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17705
632.3 IPS |
|
|
Text Classification (F32)
|
100% |
2262
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2258
3.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1157
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
3903
71.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3896
71.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1614
29.7 IPS |
