ASRock B650E PG-ITX WiFi
Geekbench AI Score
4016
Single Precision Score
1024
Half Precision Score
6208
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | August 22 2024 12:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| 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% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
99% |
4602
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
4122
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
39349
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
88% |
2147
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
5687
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8737
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.43 IPS |
|
|
Depth Estimation (Q)
|
76% |
12215
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24316
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20124
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37615
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4109
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.8 IPS |
|
|
Text Classification (Q)
|
97% |
1495
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3309
73.8 IPS |
