Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
39626
Single Precision Score
46478
Half Precision Score
30894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 10:54 AM |
| Views | 7 |
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% |
16100
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
17807
3.31 KIPS |
|
|
Image Classification (Q)
|
99% |
14019
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26614
431.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24194
392.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23752
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
304798
355.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
542068
632.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
270465
316.8 IPS |
|
|
Object Detection (SP)
|
100% |
20090
1.59 KIPS |
|
|
Object Detection (HP)
|
99% |
20557
1.63 KIPS |
|
|
Object Detection (Q)
|
87% |
16516
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
49799
591.7 IPS |
|
|
Face Detection (HP)
|
100% |
56007
665.5 IPS |
|
|
Face Detection (Q)
|
97% |
43883
523.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87109
671.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108044
832.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
69983
560.8 IPS |
|
|
Style Transfer (SP)
|
100% |
487210
626.3 IPS |
|
|
Style Transfer (HP)
|
100% |
746931
960.2 IPS |
|
|
Style Transfer (Q)
|
98% |
427218
550.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56069
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69154
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42009
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2916
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6590
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3314
62.1 IPS |
