Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
32959
Single Precision Score
36636
Half Precision Score
24752
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aaoossaleh |
| Upload Date | April 08 2026 09:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13399
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
13349
2.48 KIPS |
|
|
Image Classification (Q)
|
99% |
10739
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23703
384.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19051
308.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19499
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
214205
249.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
330485
385.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
178694
209.4 IPS |
|
|
Object Detection (SP)
|
100% |
14923
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
15526
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
12398
995.8 IPS |
|
|
Face Detection (SP)
|
100% |
43767
520.0 IPS |
|
|
Face Detection (HP)
|
100% |
47760
567.5 IPS |
|
|
Face Detection (Q)
|
97% |
34325
409.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
76135
586.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83084
640.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
56626
454.7 IPS |
|
|
Style Transfer (SP)
|
100% |
386142
496.4 IPS |
|
|
Style Transfer (HP)
|
100% |
515602
662.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303224
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44945
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51898
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32235
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2872
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5837
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6677
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3411
64.0 IPS |
