ASRock X670E Steel Legend
Geekbench AI Score
3911
Single Precision Score
1762
Half Precision Score
7259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 10:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
99% |
8753
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3627
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7693
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
27304
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
844
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7976
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
6203
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
1663
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11352
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2668
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7830
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17477
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15267
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29514
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3536
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2004
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3162
63.5 IPS |
