ASRock B650E PG-ITX WiFi
Geekbench AI Score
5211
Single Precision Score
1294
Half Precision Score
8076
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | August 22 2024 11:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 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 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
99% |
6030
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
4491
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13433
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10491
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60277
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
88% |
3070
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (Q)
|
97% |
6812
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12286
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
14989
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29165
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25731
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45683
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4234
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3363
124.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6280
232.6 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1885
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4264
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
4269
95.2 IPS |
