LENOVO 21QYS04H00
Geekbench AI Score
2510
Single Precision Score
1252
Half Precision Score
4979
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 01:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21QYS04H00 |
| Motherboard | LENOVO 21QYS04H00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
4072
759.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2466
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3132
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2247
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
11460
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
4185
336.4 IPS |
|
|
Face Detection (SP)
|
100% |
5226
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
6830
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4448
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10006
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7943
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6573
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
17066
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3671
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.9 IPS |
|
|
Text Classification (Q)
|
97% |
1601
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2840
57.1 IPS |
