LENOVO 1607S8T
Geekbench AI Score
527
Single Precision Score
536
Half Precision Score
749
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | paisarn |
| Upload Date | November 22 2025 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-2400 CPU @ 3.10GHz |
| 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% |
322
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
1191
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
507
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
1505
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
997
7.68 IPS |
|
|
Depth Estimation (Q)
|
81% |
1300
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1425
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1464
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3420
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
535
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.5 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.8 IPS |
|
|
Text Classification (Q)
|
91% |
167
224.3 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
100% |
437
7.52 IPS |
