LENOVO 21KV0015US
Geekbench AI Score
15463
Single Precision Score
25655
Half Precision Score
12375
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 10:33 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% |
6385
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10527
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
5868
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10518
170.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13722
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9644
156.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
78713
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
229855
268.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
69549
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
7710
611.6 IPS |
|
|
Object Detection (HP)
|
100% |
13253
1.05 KIPS |
|
|
Object Detection (Q)
|
84% |
6925
558.5 IPS |
|
|
Face Detection (SP)
|
100% |
19044
226.3 IPS |
|
|
Face Detection (HP)
|
100% |
28449
338.0 IPS |
|
|
Face Detection (Q)
|
97% |
17152
204.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35801
275.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70192
542.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
29528
236.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124954
160.6 IPS |
|
|
Style Transfer (HP)
|
100% |
326814
420.1 IPS |
|
|
Style Transfer (Q)
|
98% |
115251
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25298
934.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39767
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19101
707.3 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1682
31.5 IPS |
