LENOVO 21L2S09C01
Geekbench AI Score
5481
Single Precision Score
8279
Half Precision Score
12574
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21L2S09C01 |
| Motherboard | LENOVO 21L2S09C01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3665
681.6 IPS |
|
|
Image Classification (HP)
|
100% |
5241
974.8 IPS |
|
|
Image Classification (Q)
|
100% |
6404
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3530
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7499
121.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10189
165.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12037
14.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
10923
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
34911
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3359
266.4 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
88% |
7873
630.9 IPS |
|
|
Face Detection (SP)
|
100% |
7520
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
14439
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
22565
268.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11783
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20676
159.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
28241
224.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30194
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39337
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83411
107.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8952
330.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14006
518.7 IPS |
|
|
Text Classification (SP)
|
71% |
1684
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2319
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2449
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2800
48.4 IPS |
|
|
Machine Translation (Q)
|
89% |
3022
52.5 IPS |
