CLEVO P170HMx
Geekbench AI Score
476
Single Precision Score
304
Half Precision Score
567
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 13 2025 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2860QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | CLEVO P170HMx |
| Motherboard | CLEVO P170HMx |
| Power Plan | Samsung High Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2860QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
96% |
395
73.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
422
6.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
787
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
58% |
314
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.89 IPS |
|
|
Face Detection (Q)
|
96% |
969
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
816
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
452
3.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
965
7.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1609
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1394
1.79 IPS |
|
|
Style Transfer (Q)
|
87% |
1804
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
469
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.6 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.6 IPS |
|
|
Text Classification (Q)
|
97% |
184
247.0 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (Q)
|
68% |
580
11.2 IPS |
