LENOVO 83CV
Geekbench AI Score
7535
Single Precision Score
11245
Half Precision Score
16361
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 19 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5537
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7470
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
8532
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4679
75.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10955
177.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15151
245.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21396
25.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18319
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62678
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (HP)
|
100% |
7486
593.8 IPS |
|
|
Object Detection (Q)
|
88% |
10667
854.8 IPS |
|
|
Face Detection (SP)
|
100% |
9028
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
15341
182.3 IPS |
|
|
Face Detection (Q)
|
100% |
26991
320.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15649
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29414
227.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
30323
240.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42319
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63361
81.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149058
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8645
319.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15092
557.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19385
717.9 IPS |
|
|
Text Classification (SP)
|
71% |
1871
2.71 KIPS |
|
|
Text Classification (HP)
|
71% |
2390
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2795
48.3 IPS |
|
|
Machine Translation (Q)
|
89% |
2780
48.3 IPS |
