LENOVO 20VX00J2SP
Geekbench AI Score
1915
Single Precision Score
596
Half Precision Score
4321
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | svenrieke |
| Upload Date | July 01 2025 06:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Linux Mint 21.3 |
| Model | LENOVO 20VX00J2SP |
| Motherboard | LENOVO 20VX00J2SP |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
97% |
3519
656.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3415
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
10850
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
4083
328.2 IPS |
|
|
Face Detection (SP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
8658
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3822
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
8230
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7266
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4429
5.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12972
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2882
106.7 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
340
453.2 IPS |
|
|
Text Classification (Q)
|
97% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
65% |
2135
42.9 IPS |
