Default String Default String
Geekbench AI Score
2755
Single Precision Score
1218
Half Precision Score
5577
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default String Default String |
| Motherboard | Default string Default String |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
4670
871.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6280
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4259
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
16225
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
4537
364.6 IPS |
|
|
Face Detection (SP)
|
100% |
5891
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7598
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1793
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11534
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10587
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7698
9.90 IPS |
|
|
Style Transfer (Q)
|
98% |
17578
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3739
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
577
769.5 IPS |
|
|
Text Classification (Q)
|
97% |
1097
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2135
42.9 IPS |
