Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
39689
Single Precision Score
66678
Half Precision Score
29827
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | xap09 |
| Upload Date | July 01 2025 10:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14872
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21569
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
13094
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32352
524.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
49262
798.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29244
475.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
253607
295.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
773812
902.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
215369
252.3 IPS |
|
|
Object Detection (SP)
|
100% |
21324
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
33015
2.62 KIPS |
|
|
Object Detection (Q)
|
86% |
17854
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
62216
739.3 IPS |
|
|
Face Detection (HP)
|
100% |
92745
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
50263
599.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
95687
737.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
177564
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70118
559.9 IPS |
|
|
Style Transfer (SP)
|
100% |
369683
475.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1207749
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
321052
414.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58283
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87714
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43193
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
8026
138.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8150
140.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3296
61.8 IPS |
