ASRock B650E PG-ITX WiFi
Geekbench AI Score
8071
Single Precision Score
7980
Half Precision Score
18546
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | August 22 2024 12:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG-ITX WiFi |
| Motherboard | ASRock B650E PG-ITX WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4733
880.2 IPS |
|
|
Image Classification (HP)
|
100% |
4062
755.4 IPS |
|
|
Image Classification (Q)
|
100% |
9268
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4543
73.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4668
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9984
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13051
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13124
15.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
51656
60.5 IPS |
|
|
Object Detection (SP)
|
100% |
5126
406.6 IPS |
|
|
Object Detection (HP)
|
100% |
5099
404.4 IPS |
|
|
Object Detection (Q)
|
88% |
12094
969.5 IPS |
|
|
Face Detection (SP)
|
100% |
13139
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
13289
157.9 IPS |
|
|
Face Detection (Q)
|
100% |
32954
391.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13161
101.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
13473
103.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
37209
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34546
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34310
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
124715
160.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21351
790.7 IPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4262
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5193
89.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5986
104.6 IPS |
