LENOVO 83DN
Geekbench ML Score
3086
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 02:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DN |
| 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% |
1408
263.4 IPS |
|
|
Image Classification (F16)
|
100% |
1413
264.5 IPS |
|
|
Image Classification (I8)
|
100% |
1258
235.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1616
27.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1378
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14444
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14103
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12998
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1278
95.4 IPS |
|
|
Object Detection (F16)
|
100% |
1253
93.5 IPS |
|
|
Object Detection (I8)
|
54% |
1153
86.1 IPS |
|
|
Face Detection (F32)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (I8)
|
89% |
1231
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7910
61.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7886
61.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6803
52.8 IPS |
|
|
Style Transfer (F32)
|
100% |
42438
55.8 IPS |
|
|
Style Transfer (F16)
|
100% |
42647
56.1 IPS |
|
|
Style Transfer (I8)
|
98% |
32360
42.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7014
250.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7029
251.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5425
193.8 IPS |
|
|
Text Classification (F32)
|
90% |
753
1.08 KIPS |
|
|
Text Classification (F16)
|
90% |
752
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
570
819.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1595
29.4 IPS |
|
|
Machine Translation (I8)
|
70% |
901
16.6 IPS |
