LENOVO 83F5
Geekbench ML Score
3632
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 02:44 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2356
440.9 IPS |
|
|
Image Classification (F16)
|
100% |
2351
439.9 IPS |
|
|
Image Classification (I8)
|
100% |
1707
319.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2975
49.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3005
50.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2048
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8280
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
8247
9.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
7372
8.93 IPS |
|
|
Object Detection (F32)
|
100% |
2314
172.7 IPS |
|
|
Object Detection (F16)
|
100% |
2264
169.1 IPS |
|
|
Object Detection (I8)
|
54% |
1769
132.1 IPS |
|
|
Face Detection (F32)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (F16)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (I8)
|
89% |
2966
35.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8927
69.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8981
69.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
6742
52.3 IPS |
|
|
Style Transfer (F32)
|
100% |
24915
32.8 IPS |
|
|
Style Transfer (F16)
|
100% |
25304
33.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20026
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4903
175.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4919
175.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3236
115.6 IPS |
|
|
Text Classification (F32)
|
100% |
1161
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1139
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
650
933.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1674
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (I8)
|
70% |
897
16.5 IPS |
