LENOVO 21Q8S01B00
Geekbench AI Score
8036
Single Precision Score
12396
Half Precision Score
5426
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MAT-INDUSTRIES |
| Upload Date | December 23 2025 12:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| 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% |
5002
930.3 IPS |
|
|
Image Classification (HP)
|
100% |
6219
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
3680
686.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6489
105.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10709
173.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4227
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20081
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
41265
48.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17670
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
5753
456.3 IPS |
|
|
Object Detection (HP)
|
100% |
7314
580.1 IPS |
|
|
Object Detection (Q)
|
84% |
4032
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
9002
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
15353
182.4 IPS |
|
|
Face Detection (Q)
|
97% |
6048
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18982
146.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31759
244.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13571
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52755
67.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88624
113.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41279
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16987
627.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5976
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (Q)
|
97% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1036
19.4 IPS |
