ASRock B650 Steel Legend WiFi
Geekbench AI Score
27760
Single Precision Score
42578
Half Precision Score
21144
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | uki |
| Upload Date | August 20 2024 10:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 Steel Legend WiFi |
| Motherboard | ASRock B650 Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11048
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
15910
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
9320
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19291
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25883
419.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18342
298.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
177313
206.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
437269
510.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
159782
187.1 IPS |
|
|
Object Detection (SP)
|
100% |
13799
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
20866
1.66 KIPS |
|
|
Object Detection (Q)
|
89% |
11801
944.8 IPS |
|
|
Face Detection (SP)
|
100% |
37069
440.5 IPS |
|
|
Face Detection (HP)
|
100% |
49320
586.0 IPS |
|
|
Face Detection (Q)
|
97% |
29712
354.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
66908
515.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
117308
903.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
50036
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
319345
410.5 IPS |
|
|
Style Transfer (HP)
|
100% |
780615
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
287242
370.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46173
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59856
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33792
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1959
43.7 IPS |
