LENOVO 21KV0015US
Geekbench AI Score
2685
Single Precision Score
1048
Half Precision Score
4463
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | December 24 2024 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
99% |
4472
834.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2283
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
15818
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
3412
274.3 IPS |
|
|
Face Detection (SP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7215
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10854
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10612
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5720
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
17418
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3464
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
536
714.8 IPS |
|
|
Text Classification (Q)
|
97% |
526
705.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2290
46.0 IPS |
