ASRock X670E Steel Legend
Geekbench AI Score
3194
Single Precision Score
1458
Half Precision Score
5732
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 10:31 AM |
| Views | 3 |
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% |
2422
450.4 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
8123
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2867
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5033
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
22673
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
5699
458.0 IPS |
|
|
Face Detection (SP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
8620
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7007
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7292
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13090
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12693
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23951
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1997
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2209
81.8 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1993
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
65% |
1920
38.6 IPS |
