Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench ML Score
1680
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | July 26 2024 10:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
613
114.7 IPS |
|
|
Image Classification (F16)
|
100% |
614
114.8 IPS |
|
|
Image Classification (I8)
|
100% |
577
108.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1152
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1151
19.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
996
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5944
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
5942
7.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
5179
6.27 IPS |
|
|
Object Detection (F32)
|
100% |
671
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
668
49.9 IPS |
|
|
Object Detection (I8)
|
62% |
625
46.6 IPS |
|
|
Face Detection (F32)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (I8)
|
89% |
1160
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3581
27.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3580
27.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
3265
25.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10952
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10965
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
9803
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2797
99.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2799
99.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2148
76.7 IPS |
|
|
Text Classification (F32)
|
100% |
678
974.5 IPS |
|
|
Text Classification (F16)
|
100% |
678
974.6 IPS |
|
|
Text Classification (I8)
|
98% |
487
699.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1183
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
70% |
649
11.9 IPS |
