LENOVO 20HKCTO1WW
Geekbench AI Score
1290
Single Precision Score
657
Half Precision Score
1733
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IHP48 |
| Upload Date | November 13 2025 10:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1535M v6 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | LENOVO 20HKCTO1WW |
| Motherboard | LENOVO 20HKCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1535M v6 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
897
166.8 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
3063
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
887
96.9 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
96% |
2657
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2033
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
3569
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4751
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3532
4.54 IPS |
|
|
Style Transfer (Q)
|
87% |
6470
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1298
25.1 IPS |
