LENOVO 12U2S5SJ00
Geekbench ML Score
1450
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 11:35 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | LENOVO 12U2S5SJ00 |
| Motherboard | LENOVO 334B |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
674
126.1 IPS |
|
|
Image Classification (F16)
|
100% |
677
126.7 IPS |
|
|
Image Classification (I8)
|
100% |
549
102.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
763
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5294
6.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
5301
6.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
3511
4.25 IPS |
|
|
Object Detection (F32)
|
100% |
796
59.4 IPS |
|
|
Object Detection (F16)
|
100% |
796
59.5 IPS |
|
|
Object Detection (I8)
|
54% |
644
48.0 IPS |
|
|
Face Detection (F32)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (I8)
|
89% |
1029
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2998
23.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2994
23.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2295
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10716
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10734
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
8098
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1839
65.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1845
65.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
982
35.1 IPS |
|
|
Text Classification (F32)
|
100% |
860
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
864
1.24 KIPS |
|
|
Text Classification (I8)
|
98% |
399
573.6 IPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (I8)
|
70% |
423
7.79 IPS |
