LENOVO 21KV001BUS
Geekbench AI Score
18227
Single Precision Score
29878
Half Precision Score
14183
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | LENOVO 21KV001BUS |
| Motherboard | LENOVO 21KV001BUS |
| Power Plan | Enhanced performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7238
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
11465
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
6858
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13884
225.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18490
299.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12339
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
91800
107.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
271648
317.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74619
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
8903
706.2 IPS |
|
|
Object Detection (HP)
|
100% |
14641
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
8016
645.3 IPS |
|
|
Face Detection (SP)
|
100% |
22794
270.8 IPS |
|
|
Face Detection (HP)
|
100% |
35050
416.5 IPS |
|
|
Face Detection (Q)
|
97% |
19914
237.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45024
346.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84700
652.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
37391
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
162661
209.1 IPS |
|
|
Style Transfer (HP)
|
100% |
395728
508.7 IPS |
|
|
Style Transfer (Q)
|
98% |
141641
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30382
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46007
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21873
809.9 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3141
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1575
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3961
68.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1791
33.6 IPS |
