LENOVO 83CV
Geekbench ML Score
2755
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 06:46 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1399
261.9 IPS |
|
|
Image Classification (F16)
|
100% |
1391
260.3 IPS |
|
|
Image Classification (I8)
|
99% |
2330
436.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1259
21.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2199
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5279
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
5246
6.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
18797
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (F16)
|
100% |
1355
101.1 IPS |
|
|
Object Detection (I8)
|
62% |
1228
91.7 IPS |
|
|
Face Detection (F32)
|
100% |
3360
40.0 IPS |
|
|
Face Detection (F16)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (I8)
|
89% |
3474
41.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5607
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5465
42.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11213
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12473
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12410
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18537
24.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2416
86.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2340
83.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3472
124.0 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
902
1.30 KIPS |
|
|
Text Classification (I8)
|
98% |
339
487.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2154
39.6 IPS |
