CLEVO CO. W25CEW
Geekbench AI Score
376
Single Precision Score
375
Half Precision Score
540
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vtomi07 |
| Upload Date | December 11 2024 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3340M CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | CLEVO CO. W25CEW |
| Motherboard | CLEVO CO. W25CEW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3340M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.7 IPS |
|
|
Image Classification (Q)
|
100% |
351
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
419
6.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
702
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
87% |
355
28.4 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (Q)
|
97% |
994
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
629
4.85 IPS |
|
|
Depth Estimation (Q)
|
81% |
896
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
995
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
995
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2113
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
431
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.9 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.4 IPS |
|
|
Text Classification (Q)
|
91% |
212
285.2 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
100% |
336
5.79 IPS |
