LENOVO 21L2S09C01
Geekbench AI Score
5458
Single Precision Score
8265
Half Precision Score
12675
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:24 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% |
3591
667.9 IPS |
|
|
Image Classification (HP)
|
100% |
5211
969.0 IPS |
|
|
Image Classification (Q)
|
100% |
6454
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3592
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7467
121.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12049
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10883
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
34971
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
5080
403.0 IPS |
|
|
Object Detection (Q)
|
88% |
7949
637.0 IPS |
|
|
Face Detection (SP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
14309
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
22239
264.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11582
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20580
159.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
28445
225.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30694
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39705
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84853
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8952
330.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14021
519.3 IPS |
|
|
Text Classification (SP)
|
71% |
1712
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
2351
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
2480
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2810
48.6 IPS |
|
|
Machine Translation (Q)
|
89% |
3062
53.2 IPS |
