ASRock X670E Steel Legend
Geekbench AI Score
6170
Single Precision Score
2519
Half Precision Score
11134
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5634
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (Q)
|
99% |
12978
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4574
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10180
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8240
9.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
40823
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
4766
378.0 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
86% |
12862
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
8985
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
13070
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12230
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3622
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25196
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24327
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19500
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35071
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3617
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6207
229.8 IPS |
|
|
Text Classification (SP)
|
100% |
3124
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2530
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5183
104.2 IPS |
