LENOVO 21Q8S01B00
Geekbench AI Score
5176
Single Precision Score
2101
Half Precision Score
9151
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MAT-INDUSTRIES |
| Upload Date | December 23 2025 12:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q8S01B00 |
| Motherboard | LENOVO 21Q8S01B00 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4249
790.2 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.1 IPS |
|
|
Image Classification (Q)
|
99% |
8619
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11920
193.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
29046
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3755
297.8 IPS |
|
|
Object Detection (HP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (Q)
|
86% |
8349
671.0 IPS |
|
|
Face Detection (SP)
|
100% |
10167
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
11330
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11132
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2949
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19164
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20851
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14348
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22839
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5099
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1721
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2679
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3799
76.3 IPS |
