Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
39739
Single Precision Score
66799
Half Precision Score
29813
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 11:06 PM |
| Views | 12 |
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% |
14944
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
21442
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
13069
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32422
525.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
48759
790.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
28948
470.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
253566
295.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
773959
903.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
215750
252.7 IPS |
|
|
Object Detection (SP)
|
100% |
21408
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
33320
2.64 KIPS |
|
|
Object Detection (Q)
|
86% |
18030
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
62862
746.9 IPS |
|
|
Face Detection (HP)
|
100% |
94498
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
50317
599.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
95645
736.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
176184
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70195
560.5 IPS |
|
|
Style Transfer (SP)
|
100% |
372489
478.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1222708
1.57 KIPS |
|
|
Style Transfer (Q)
|
98% |
322787
416.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58124
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87418
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43228
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2320
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
8009
138.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8213
141.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3297
61.8 IPS |
