LENOVO 21QBS00400
Geekbench AI Score
2507
Single Precision Score
1213
Half Precision Score
4907
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mharris102471 |
| Upload Date | May 16 2025 08:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
1813
337.2 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
4112
767.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2451
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3233
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
11689
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1651
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
4124
331.5 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
6827
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4334
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1800
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10125
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7690
9.89 IPS |
|
|
Style Transfer (HP)
|
100% |
5893
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
17097
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3253
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
656
876.2 IPS |
|
|
Text Classification (Q)
|
97% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2758
55.4 IPS |
