ASRock X670E Steel Legend
Geekbench AI Score
5979
Single Precision Score
1987
Half Precision Score
9786
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | December 29 2024 04:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4728
879.3 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
99% |
9997
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4280
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16673
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11072
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
47120
55.2 IPS |
|
|
Object Detection (SP)
|
100% |
4640
368.0 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
10683
858.6 IPS |
|
|
Face Detection (SP)
|
100% |
8319
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
13075
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13677
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3080
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21608
172.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31766
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42076
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3134
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4173
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4846
97.4 IPS |
