ASRock B650E Steel Legend WiFi
Geekbench AI Score
8267
Single Precision Score
8169
Half Precision Score
18910
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | edwardhchan |
| Upload Date | November 03 2024 03:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5000
929.9 IPS |
|
|
Image Classification (HP)
|
100% |
4887
908.8 IPS |
|
|
Image Classification (Q)
|
100% |
10441
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4830
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4643
75.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10307
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13320
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13377
15.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
51995
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
5382
426.9 IPS |
|
|
Object Detection (HP)
|
100% |
5322
422.1 IPS |
|
|
Object Detection (Q)
|
88% |
12251
982.1 IPS |
|
|
Face Detection (SP)
|
100% |
12477
148.2 IPS |
|
|
Face Detection (HP)
|
100% |
12156
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
32892
390.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13758
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13806
106.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36423
283.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34979
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34931
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
126819
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21717
804.3 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4347
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5381
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5326
91.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5947
102.4 IPS |
