LENOVO 21QBS00400
Geekbench AI Score
2587
Single Precision Score
21059
Half Precision Score
28270
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mharris102471 |
| Upload Date | May 17 2025 03:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QBS00400 |
| Motherboard | LENOVO 21QBS00400 |
| 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% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
11334
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10160
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15967
258.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30538
495.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
103119
120.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
200348
234.7 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
14174
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
18899
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
27974
332.4 IPS |
|
|
Face Detection (Q)
|
100% |
49029
582.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3790
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
63879
492.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
98259
764.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207189
266.3 IPS |
|
|
Style Transfer (Q)
|
98% |
310266
400.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24072
888.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46194
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3554
61.2 IPS |
