LENOVO 10SKS58E00
Geekbench AI Score
2670
Single Precision Score
1157
Half Precision Score
3795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 07:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 10SKS58E00 |
| Motherboard | LENOVO 3132 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (Q)
|
96% |
3208
599.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
3842
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4403
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
7196
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (Q)
|
58% |
2226
243.2 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5446
65.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1495
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7227
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10760
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8268
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11024
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3155
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.2 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2025
39.1 IPS |
