CLEVO CO. W25CEW
Geekbench AI Score
462
Single Precision Score
286
Half Precision Score
413
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vtomi07 |
| Upload Date | December 11 2024 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3340M |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
96% |
305
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
566
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
555
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
210
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
96% |
706
8.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
672
5.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1434
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1158
1.49 IPS |
|
|
Style Transfer (Q)
|
87% |
1262
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
310
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.0 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.1 IPS |
|
|
Text Classification (Q)
|
97% |
191
255.6 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
68% |
448
8.66 IPS |
