LENOVO 1607S8T
Geekbench AI Score
656
Single Precision Score
376
Half Precision Score
534
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | paisarn |
| Upload Date | November 22 2025 03:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 1607S8T |
| Motherboard | LENOVO To be filled by O.E.M. |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
96% |
436
81.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
352
5.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
819
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
156
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (Q)
|
96% |
960
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
579
4.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
997
7.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2481
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
2072
2.66 IPS |
|
|
Style Transfer (Q)
|
87% |
1977
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.3 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.0 IPS |
|
|
Text Classification (Q)
|
97% |
195
260.8 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (Q)
|
68% |
597
11.5 IPS |
