LENOVO 83D4
Geekbench ML Score
4099
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 23 2024 09:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 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% |
2259
422.8 IPS |
|
|
Image Classification (F16)
|
100% |
2271
425.0 IPS |
|
|
Image Classification (I8)
|
100% |
2013
376.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3082
51.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2832
47.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2467
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
17893
21.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17584
21.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13782
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
2192
163.6 IPS |
|
|
Object Detection (F16)
|
100% |
1662
124.1 IPS |
|
|
Object Detection (I8)
|
54% |
1337
99.8 IPS |
|
|
Face Detection (F32)
|
100% |
4555
54.2 IPS |
|
|
Face Detection (F16)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (I8)
|
89% |
3324
39.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10394
80.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10142
78.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
8231
63.8 IPS |
|
|
Style Transfer (F32)
|
100% |
46524
61.2 IPS |
|
|
Style Transfer (F16)
|
100% |
46727
61.5 IPS |
|
|
Style Transfer (I8)
|
98% |
34424
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7092
253.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7453
266.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4079
145.7 IPS |
|
|
Text Classification (F32)
|
90% |
752
1.08 KIPS |
|
|
Text Classification (F16)
|
90% |
719
1.03 KIPS |
|
|
Text Classification (I8)
|
90% |
544
781.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (I8)
|
70% |
857
15.8 IPS |
