LENOVO 21Q8S01B00
Geekbench AI Score
10811
Single Precision Score
25059
Half Precision Score
31389
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MAT-INDUSTRIES |
| Upload Date | December 23 2025 12:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) (iGPU) |
| 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% |
7032
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
12745
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17552
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9082
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22660
367.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27180
440.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25601
29.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
102340
119.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
189722
222.1 IPS |
|
|
Object Detection (SP)
|
100% |
6706
531.9 IPS |
|
|
Object Detection (HP)
|
100% |
14715
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
18283
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
13291
157.9 IPS |
|
|
Face Detection (HP)
|
100% |
29196
346.9 IPS |
|
|
Face Detection (Q)
|
100% |
40415
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22836
175.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51751
398.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
69014
536.5 IPS |
|
|
Style Transfer (SP)
|
100% |
63116
81.1 IPS |
|
|
Style Transfer (HP)
|
100% |
174944
224.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271653
350.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10482
387.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32379
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40154
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3088
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5944
102.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5973
102.9 IPS |
