Gigabyte Technology Co., Ltd. B650 GAMING X AX V2
Geekbench AI Score
3988
Single Precision Score
1819
Half Precision Score
7995
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 02:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3283
610.5 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.4 IPS |
|
|
Image Classification (Q)
|
99% |
8029
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4251
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
21269
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
86% |
7856
631.4 IPS |
|
|
Face Detection (SP)
|
100% |
5793
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11471
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2621
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16452
131.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12456
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11545
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25453
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4091
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
2012
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2258
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4687
94.2 IPS |
