LENOVO 83AC
Geekbench ML Score
3894
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 11 2024 07:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2265
423.8 IPS |
|
|
Image Classification (F16)
|
100% |
2220
415.3 IPS |
|
|
Image Classification (I8)
|
100% |
1869
349.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2837
47.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2850
47.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2282
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16939
20.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
16819
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12823
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1846
137.8 IPS |
|
|
Object Detection (F16)
|
100% |
1847
137.9 IPS |
|
|
Object Detection (I8)
|
54% |
1601
119.5 IPS |
|
|
Face Detection (F32)
|
100% |
4513
53.7 IPS |
|
|
Face Detection (F16)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (I8)
|
89% |
3176
37.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
9667
75.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9871
76.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
7952
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
42827
56.3 IPS |
|
|
Style Transfer (F16)
|
100% |
42578
56.0 IPS |
|
|
Style Transfer (I8)
|
98% |
32252
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5701
203.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5829
208.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3806
135.9 IPS |
|
|
Text Classification (F32)
|
90% |
730
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
697
1.00 KIPS |
|
|
Text Classification (I8)
|
90% |
538
773.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1299
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (I8)
|
70% |
861
15.8 IPS |
