LENOVO 21KV0011US
Geekbench AI Score
7514
Single Precision Score
11537
Half Precision Score
17787
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nsb002 |
| Upload Date | August 28 2024 02:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0011US |
| Motherboard | LENOVO 21KV0011US |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5127
953.5 IPS |
|
|
Image Classification (HP)
|
100% |
7249
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
8014
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3710
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9320
151.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13999
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23001
26.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
21092
24.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74173
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (HP)
|
100% |
7740
613.9 IPS |
|
|
Object Detection (Q)
|
88% |
10660
854.2 IPS |
|
|
Face Detection (SP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
15862
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
27173
322.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17225
132.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30827
238.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
42322
336.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52804
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66984
86.1 IPS |
|
|
Style Transfer (Q)
|
98% |
163514
210.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8547
315.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14458
533.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
828.2 IPS |
|
|
Text Classification (SP)
|
71% |
1846
2.67 KIPS |
|
|
Text Classification (HP)
|
71% |
2501
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2754
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3200
55.3 IPS |
|
|
Machine Translation (Q)
|
89% |
3086
53.6 IPS |
