Default string Default string
Geekbench AI Score
1879
Single Precision Score
950
Half Precision Score
4012
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 10:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
3090
576.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3963
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2594
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
9161
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
2980
239.5 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
4988
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3542
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7630
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6457
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5120
6.58 IPS |
|
|
Style Transfer (Q)
|
98% |
12613
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
498
664.2 IPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
65% |
1900
38.2 IPS |
