Generic
Geekbench AI Score
1706
Single Precision Score
895
Half Precision Score
2117
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 09:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460M-HDV |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
96% |
2087
389.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
5287
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
58% |
1379
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.39 IPS |
|
|
Face Detection (Q)
|
96% |
3665
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3444
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4596
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6872
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5502
7.07 IPS |
|
|
Style Transfer (Q)
|
87% |
6742
8.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1635
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.1 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1305
25.2 IPS |
