LENOVO 21KV0015US
Geekbench AI Score
15637
Single Precision Score
25753
Half Precision Score
12373
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 11:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6324
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10322
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
5855
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10535
170.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13952
226.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9642
156.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
79070
92.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
230501
269.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
69947
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (HP)
|
100% |
13361
1.06 KIPS |
|
|
Object Detection (Q)
|
84% |
6872
554.3 IPS |
|
|
Face Detection (SP)
|
100% |
19159
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
28439
337.9 IPS |
|
|
Face Detection (Q)
|
97% |
17122
204.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36033
277.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
69842
539.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29911
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
131880
169.5 IPS |
|
|
Style Transfer (HP)
|
100% |
331568
426.2 IPS |
|
|
Style Transfer (Q)
|
98% |
113615
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25261
932.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39742
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19043
705.2 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3384
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1681
31.5 IPS |
