Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
1970
Single Precision Score
2163
Half Precision Score
1621
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Magic |
| Upload Date | January 15 2026 09:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (Q)
|
100% |
678
126.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6592
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5948
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
87% |
699
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
2077
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4620
35.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3338
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11408
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16534
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10036
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3820
141.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2148
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
719
960.3 IPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
505
676.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (Q)
|
70% |
593
11.1 IPS |
