LENOVO 10S0S0S900
Geekbench AI Score
51
Single Precision Score
50
Half Precision Score
38
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 29 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9700T |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 10S0S0S900 |
| Motherboard | LENOVO 3135 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700T |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
30
5.56 IPS |
|
|
Image Classification (HP)
|
100% |
29
5.35 IPS |
|
|
Image Classification (Q)
|
97% |
23
4.38 IPS |
|
|
Image Segmentation (SP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
32
0.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
46
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
46
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.20 IPS |
|
|
Object Detection (HP)
|
100% |
28
2.20 IPS |
|
|
Object Detection (Q)
|
87% |
23
1.81 IPS |
|
|
Face Detection (SP)
|
100% |
93
1.11 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.11 IPS |
|
|
Face Detection (Q)
|
97% |
74
0.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
46
0.42 IPS |
|
|
Style Transfer (SP)
|
100% |
141
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
141
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
118
0.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30
1.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30
1.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24
0.90 IPS |
|
|
Text Classification (SP)
|
100% |
42
55.4 IPS |
|
|
Text Classification (HP)
|
100% |
41
54.3 IPS |
|
|
Text Classification (Q)
|
91% |
30
39.9 IPS |
|
|
Machine Translation (SP)
|
100% |
71
1.23 IPS |
|
|
Machine Translation (HP)
|
100% |
71
1.22 IPS |
|
|
Machine Translation (Q)
|
58% |
38
0.90 IPS |
