LENOVO 21HRS97Y00
Geekbench ML Score
2163
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 09:27 AM |
| Views | 5 |
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 | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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% |
1319
246.8 IPS |
|
|
Image Classification (F16)
|
100% |
1436
268.6 IPS |
|
|
Image Classification (I8)
|
99% |
2148
401.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1117
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1448
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2998
3.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
3127
3.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
9286
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (F16)
|
100% |
1364
101.9 IPS |
|
|
Object Detection (I8)
|
62% |
1029
76.8 IPS |
|
|
Face Detection (F32)
|
100% |
2108
25.1 IPS |
|
|
Face Detection (F16)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (I8)
|
89% |
2316
27.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3596
27.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3077
23.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
6779
52.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6764
8.90 IPS |
|
|
Style Transfer (F16)
|
100% |
6616
8.70 IPS |
|
|
Style Transfer (I8)
|
98% |
12982
17.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2133
76.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2100
75.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3241
115.7 IPS |
|
|
Text Classification (F32)
|
100% |
1201
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1156
1.66 KIPS |
|
|
Text Classification (I8)
|
98% |
492
706.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1726
31.8 IPS |
