LENOVO 83CV
Geekbench ML Score
2910
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 06:50 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1310
245.2 IPS |
|
|
Image Classification (F16)
|
100% |
1381
258.5 IPS |
|
|
Image Classification (I8)
|
100% |
1235
231.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1543
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1373
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14015
17.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
14636
17.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12148
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1146
85.5 IPS |
|
|
Object Detection (F16)
|
100% |
1186
88.6 IPS |
|
|
Object Detection (I8)
|
54% |
1049
78.3 IPS |
|
|
Face Detection (F32)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (I8)
|
89% |
1245
14.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7657
59.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7794
60.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
6467
50.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39033
51.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40638
53.5 IPS |
|
|
Style Transfer (I8)
|
98% |
32574
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5761
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5040
180.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4235
151.2 IPS |
|
|
Text Classification (F32)
|
90% |
715
1.03 KIPS |
|
|
Text Classification (F16)
|
90% |
777
1.12 KIPS |
|
|
Text Classification (I8)
|
90% |
546
784.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1423
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1492
27.5 IPS |
|
|
Machine Translation (I8)
|
70% |
844
15.5 IPS |
