LENOVO 20XXS0KR00
Geekbench ML Score
787
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:46 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | LENOVO 20XXS0KR00 |
| Motherboard | LENOVO 20XXS0KR00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
386
72.2 IPS |
|
|
Image Classification (F16)
|
100% |
279
52.1 IPS |
|
|
Image Classification (I8)
|
99% |
467
87.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
277
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
5.81 IPS |
|
|
Image Segmentation (I8)
|
98% |
634
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
942
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
822
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
4098
4.96 IPS |
|
|
Object Detection (F32)
|
100% |
336
25.1 IPS |
|
|
Object Detection (F16)
|
100% |
359
26.8 IPS |
|
|
Object Detection (I8)
|
62% |
494
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
849
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
886
10.5 IPS |
|
|
Face Detection (I8)
|
89% |
1321
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1253
9.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
1023
7.94 IPS |
|
|
Depth Estimation (I8)
|
96% |
4027
31.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3105
4.08 IPS |
|
|
Style Transfer (F16)
|
100% |
2498
3.29 IPS |
|
|
Style Transfer (I8)
|
98% |
5426
7.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
644
23.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
697
24.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1074
38.4 IPS |
|
|
Text Classification (F32)
|
100% |
485
697.6 IPS |
|
|
Text Classification (F16)
|
100% |
487
699.5 IPS |
|
|
Text Classification (I8)
|
98% |
196
282.0 IPS |
|
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
552
10.2 IPS |
|
|
Machine Translation (I8)
|
67% |
894
16.5 IPS |
