LENOVO 7Y48CTO1WW
Geekbench AI Score
885
Single Precision Score
1045
Half Precision Score
697
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:16 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | LENOVO 7Y48CTO1WW |
| Motherboard | LENOVO 3138 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2246G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
100% |
419
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
1800
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
98% |
535
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
821
9.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2068
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1293
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5925
7.62 IPS |
|
|
Style Transfer (HP)
|
100% |
8807
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4521
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
739
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.0 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.4 IPS |
|
|
Text Classification (Q)
|
97% |
194
260.1 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
70% |
231
4.34 IPS |
