CLEVO P170EM
Geekbench AI Score
833
Single Precision Score
830
Half Precision Score
1190
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Gigaherz |
| Upload Date | January 20 2026 11:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3840QM CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | CLEVO P170EM |
| Motherboard | CLEVO P170EM |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3840QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
100% |
775
144.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
1611
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
87% |
762
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
2195
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1445
11.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
1995
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2271
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2263
2.91 IPS |
|
|
Style Transfer (Q)
|
98% |
4819
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
981
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
91% |
417
560.3 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
100% |
765
13.2 IPS |
