CLEVO CO. W110ER
Geekbench AI Score
789
Single Precision Score
432
Half Precision Score
727
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | luchnik |
| Upload Date | July 28 2025 07:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3610QM |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | CLEVO CO. W110ER |
| Motherboard | CLEVO CO. W110ER |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3610QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
563
105.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
565
9.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
1037
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
58% |
391
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (Q)
|
96% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1368
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
635
4.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
1173
9.34 IPS |
|
|
Style Transfer (SP)
|
100% |
2514
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2100
2.70 IPS |
|
|
Style Transfer (Q)
|
87% |
2313
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.5 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.4 IPS |
|
|
Text Classification (Q)
|
97% |
241
322.5 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
68% |
703
13.6 IPS |
