LENOVO 21G3S4YB00
Geekbench AI Score
3140
Single Precision Score
1240
Half Precision Score
4645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21G3S4YB00 |
| Motherboard | LENOVO 21G3S4YB00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| 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% |
2438
453.5 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
4998
932.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2592
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5349
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3712
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
19017
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
86% |
4916
395.1 IPS |
|
|
Face Detection (SP)
|
100% |
6382
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
7480
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6685
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1864
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12724
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12790
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7641
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
18071
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2986
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.5 IPS |
|
|
Text Classification (Q)
|
97% |
354
473.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
65% |
2126
42.7 IPS |
