Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
39380
Single Precision Score
46343
Half Precision Score
31073
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 12:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15778
2.93 KIPS |
|
|
Image Classification (HP)
|
100% |
17212
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
13719
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26759
433.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24005
389.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23653
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
305515
356.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
541897
632.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
271413
317.9 IPS |
|
|
Object Detection (SP)
|
100% |
20179
1.60 KIPS |
|
|
Object Detection (HP)
|
99% |
21173
1.68 KIPS |
|
|
Object Detection (Q)
|
87% |
17547
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
49926
593.2 IPS |
|
|
Face Detection (HP)
|
100% |
56207
667.9 IPS |
|
|
Face Detection (Q)
|
97% |
44329
528.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
86810
668.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107871
831.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
70018
561.1 IPS |
|
|
Style Transfer (SP)
|
100% |
488182
627.6 IPS |
|
|
Style Transfer (HP)
|
100% |
747548
961.0 IPS |
|
|
Style Transfer (Q)
|
98% |
424977
548.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55148
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70452
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43837
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4484
5.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2842
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3305
62.0 IPS |
