Gigabyte Technology Co., Ltd. X570S AORUS PRO AX
Geekbench AI Score
26550
Single Precision Score
44743
Half Precision Score
21178
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 16 2025 04:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10478
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
16938
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9588
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17763
288.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24690
400.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16212
263.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
167241
195.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
468781
547.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
143336
167.9 IPS |
|
|
Object Detection (SP)
|
100% |
13889
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
21140
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
12081
976.1 IPS |
|
|
Face Detection (SP)
|
100% |
37551
446.2 IPS |
|
|
Face Detection (HP)
|
100% |
53625
637.2 IPS |
|
|
Face Detection (Q)
|
97% |
32134
383.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68338
526.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
129634
998.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
54550
435.4 IPS |
|
|
Style Transfer (SP)
|
100% |
231061
297.0 IPS |
|
|
Style Transfer (HP)
|
100% |
743618
955.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199645
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40133
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70956
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32457
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5209
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2688
50.4 IPS |
