CLEVO P170EM
Geekbench AI Score
739
Single Precision Score
739
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Gigaherz |
| Upload Date | January 17 2026 12:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3630QM CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | CLEVO P170EM |
| Motherboard | CLEVO P170EM |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
821
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
87% |
682
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1948
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1282
9.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1282
9.87 IPS |
|
|
Depth Estimation (Q)
|
81% |
1774
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2023
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4284
5.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.9 IPS |
|
|
Text Classification (HP)
|
100% |
669
892.4 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.6 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
100% |
678
11.7 IPS |
