Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
36395
Single Precision Score
43549
Half Precision Score
28596
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 14 2025 05:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 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% |
14083
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
15317
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
11809
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26705
432.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22693
367.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23779
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
266872
311.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
484979
565.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
235865
276.3 IPS |
|
|
Object Detection (SP)
|
100% |
17185
1.36 KIPS |
|
|
Object Detection (HP)
|
99% |
19089
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
15345
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
55002
653.5 IPS |
|
|
Face Detection (HP)
|
100% |
64696
768.7 IPS |
|
|
Face Detection (Q)
|
97% |
44945
535.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77261
595.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96653
744.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
66878
535.9 IPS |
|
|
Style Transfer (SP)
|
100% |
434515
558.6 IPS |
|
|
Style Transfer (HP)
|
100% |
696692
895.6 IPS |
|
|
Style Transfer (Q)
|
98% |
382233
492.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48501
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63676
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38951
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2613
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6436
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6742
116.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3077
57.7 IPS |
