Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
35719
Single Precision Score
48366
Half Precision Score
29930
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | August 11 2025 11:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 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 | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16235
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18445
3.43 KIPS |
|
|
Image Classification (Q)
|
99% |
15294
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18874
306.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22148
359.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24217
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
214934
250.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
642141
749.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
191847
224.7 IPS |
|
|
Object Detection (SP)
|
100% |
17671
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
20953
1.66 KIPS |
|
|
Object Detection (Q)
|
87% |
16230
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
53259
632.8 IPS |
|
|
Face Detection (HP)
|
100% |
63208
751.0 IPS |
|
|
Face Detection (Q)
|
97% |
47243
563.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85816
661.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
126841
977.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
71445
572.5 IPS |
|
|
Style Transfer (SP)
|
100% |
389553
500.8 IPS |
|
|
Style Transfer (HP)
|
100% |
703758
904.7 IPS |
|
|
Style Transfer (Q)
|
98% |
360060
464.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52185
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83917
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43045
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4440
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7042
121.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7219
124.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3921
73.5 IPS |
