LENOVO 21HRS97Y00
Geekbench ML Score
1496
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:44 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21HRS97Y00 |
| Motherboard | LENOVO 21HRS97Y00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| 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% |
741
138.7 IPS |
|
|
Image Classification (F16)
|
100% |
774
144.8 IPS |
|
|
Image Classification (I8)
|
99% |
1308
244.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
697
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1103
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2189
2.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2206
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
5052
6.12 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.4 IPS |
|
|
Object Detection (F16)
|
100% |
804
60.0 IPS |
|
|
Object Detection (I8)
|
62% |
935
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (F16)
|
100% |
1999
23.8 IPS |
|
|
Face Detection (I8)
|
89% |
2540
30.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3117
24.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2958
22.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
6096
47.3 IPS |
|
|
Style Transfer (F32)
|
100% |
6010
7.91 IPS |
|
|
Style Transfer (F16)
|
100% |
5736
7.55 IPS |
|
|
Style Transfer (I8)
|
98% |
10385
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
875
31.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
972
34.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2057
73.5 IPS |
|
|
Text Classification (F32)
|
100% |
645
926.9 IPS |
|
|
Text Classification (F16)
|
100% |
602
864.7 IPS |
|
|
Text Classification (I8)
|
98% |
218
312.7 IPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
929
17.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1413
26.0 IPS |
