Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
7851
Single Precision Score
3111
Half Precision Score
11896
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | January 12 2025 10:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7021
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (Q)
|
99% |
13244
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4966
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13833
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10849
12.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
44421
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
6394
507.2 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (Q)
|
86% |
13180
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11160
132.6 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
14328
170.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16788
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4462
34.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
29232
233.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31114
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22844
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38237
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6720
248.8 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2655
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5161
103.7 IPS |
