LENOVO 21KYS25400
Geekbench AI Score
1659
Single Precision Score
719
Half Precision Score
1739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | January 15 2025 04:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | LENOVO 21KYS25400 |
| Motherboard | LENOVO 21KYS25400 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1099
204.4 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
1712
319.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
924
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
4682
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
58% |
957
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.76 IPS |
|
|
Face Detection (Q)
|
96% |
2446
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3392
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1176
9.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
3495
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7487
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
5186
6.67 IPS |
|
|
Style Transfer (Q)
|
87% |
7224
9.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.6 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.2 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.9 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
68% |
1180
22.8 IPS |
