LENOVO 30HSCTO1WW
Geekbench AI Score
7085
Single Precision Score
2531
Half Precision Score
11581
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cotocisternas |
| Upload Date | December 30 2025 02:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HSCTO1WW |
| Motherboard | LENOVO 106F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5577
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (Q)
|
99% |
10026
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3123
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17103
278.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8024
9.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
49411
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5304
420.7 IPS |
|
|
Object Detection (HP)
|
100% |
1164
92.4 IPS |
|
|
Object Detection (Q)
|
86% |
11912
957.4 IPS |
|
|
Face Detection (SP)
|
100% |
15948
189.5 IPS |
|
|
Face Detection (HP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
13427
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16275
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24718
197.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30543
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19301
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30333
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3351
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7081
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3948
79.3 IPS |
