LENOVO 83CV
Geekbench AI Score
2886
Single Precision Score
1162
Half Precision Score
2281
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 4BenchM0nkey |
| Upload Date | December 27 2024 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
679.1 IPS |
|
|
Image Classification (Q)
|
100% |
1016
189.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6550
106.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12952
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19181
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11359
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
0% |
0
322.7 IPS |
|
|
Object Detection (Q)
|
86% |
1056
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
8127
96.6 IPS |
|
|
Face Detection (Q)
|
97% |
1208
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
18261
141.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5570
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37467
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54114
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28368
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8096
298.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4158
154.0 IPS |
|
|
Text Classification (SP)
|
86% |
652
881.2 IPS |
|
|
Text Classification (HP)
|
99% |
481
641.5 IPS |
|
|
Text Classification (Q)
|
84% |
479
650.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
646
12.1 IPS |
