Generic
Geekbench AI Score
1824
Single Precision Score
892
Half Precision Score
2644
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.8 IPS |
|
|
Image Classification (Q)
|
96% |
2944
549.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2438
2.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
6648
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
58% |
1784
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5266
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3699
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6628
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7099
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5917
7.61 IPS |
|
|
Style Transfer (Q)
|
87% |
9755
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
421
562.1 IPS |
|
|
Text Classification (Q)
|
97% |
359
481.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1609
31.1 IPS |
