Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE
Geekbench AI Score
3398
Single Precision Score
1671
Half Precision Score
4267
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.3 IPS |
|
|
Image Classification (Q)
|
99% |
5165
963.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2605
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4853
5.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
25177
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
88% |
2145
171.9 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
5308
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7707
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2583
19.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5375
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17088
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14076
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26524
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
448
600.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2255
50.3 IPS |
