LENOVO 7Y48CTO1WW
Geekbench AI Score
2317
Single Precision Score
1010
Half Precision Score
3427
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:24 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E-2246G |
| 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% |
1811
336.7 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
96% |
2861
534.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4039
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
7284
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
58% |
1997
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
4661
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4842
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6229
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9200
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6776
8.71 IPS |
|
|
Style Transfer (Q)
|
87% |
9908
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2919
108.2 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.4 IPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1789
34.6 IPS |
