X570 Steel Legend
Geekbench AI Score
27315
Single Precision Score
40920
Half Precision Score
21043
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | magnum7385 |
| Upload Date | September 28 2025 12:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X570 Steel Legend |
| Motherboard | ASRock X570 Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10195
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
15436
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9148
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19548
316.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27459
445.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18400
299.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157172
183.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
359214
419.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
138303
162.0 IPS |
|
|
Object Detection (SP)
|
100% |
13517
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
20634
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
11470
923.4 IPS |
|
|
Face Detection (SP)
|
100% |
36609
435.0 IPS |
|
|
Face Detection (HP)
|
100% |
52673
625.9 IPS |
|
|
Face Detection (Q)
|
97% |
30751
366.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
67661
521.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113753
876.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
52764
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
269495
346.4 IPS |
|
|
Style Transfer (HP)
|
100% |
590996
759.7 IPS |
|
|
Style Transfer (Q)
|
98% |
240052
309.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45438
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54524
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32913
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5784
99.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2447
45.9 IPS |
