Default string Default string
Geekbench AI Score
2843
Single Precision Score
1186
Half Precision Score
5484
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (Q)
|
99% |
4457
831.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6596
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4767
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
17966
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
4961
398.7 IPS |
|
|
Face Detection (SP)
|
100% |
4952
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6986
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6033
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11448
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11209
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14344
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.3 IPS |
|
|
Text Classification (Q)
|
97% |
987
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2366
47.5 IPS |
