LENOVO 21QV002GUS
Geekbench AI Score
11570
Single Precision Score
23524
Half Precision Score
9378
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QV002GUS |
| Motherboard | LENOVO 21QV002GUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4748
882.9 IPS |
|
|
Image Classification (HP)
|
100% |
10489
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
4424
825.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8715
141.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15615
253.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7662
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
44186
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151416
176.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
43639
51.1 IPS |
|
|
Object Detection (SP)
|
100% |
6134
486.5 IPS |
|
|
Object Detection (HP)
|
100% |
11973
949.7 IPS |
|
|
Object Detection (Q)
|
87% |
5653
453.6 IPS |
|
|
Face Detection (SP)
|
100% |
14456
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
27757
329.8 IPS |
|
|
Face Detection (Q)
|
97% |
13401
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27905
215.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
60273
464.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24014
192.4 IPS |
|
|
Style Transfer (SP)
|
100% |
66543
85.5 IPS |
|
|
Style Transfer (HP)
|
100% |
260215
334.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58346
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14671
541.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28796
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12178
451.0 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1675
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1644
30.8 IPS |
