Intel
Geekbench AI Score
2008
Single Precision Score
1079
Half Precision Score
3806
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel |
| Motherboard | Intel H610 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
4363
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1769
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2764
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
12291
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
3746
301.1 IPS |
|
|
Face Detection (SP)
|
100% |
2155
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5420
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4189
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9002
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6966
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5935
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
9056
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3184
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.8 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2557
51.4 IPS |
