LENOVO 90S10003US
Geekbench AI Score
16564
Single Precision Score
26618
Half Precision Score
10355
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Midway91 |
| Upload Date | February 14 2025 10:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90S10003US |
| Motherboard | LENOVO 3750 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6090
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9975
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
4460
829.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10892
176.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15588
252.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8739
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
95928
111.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
269292
314.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
75770
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
8387
665.3 IPS |
|
|
Object Detection (HP)
|
100% |
12195
967.3 IPS |
|
|
Object Detection (Q)
|
88% |
5782
463.7 IPS |
|
|
Face Detection (SP)
|
100% |
18015
214.1 IPS |
|
|
Face Detection (HP)
|
100% |
27552
327.4 IPS |
|
|
Face Detection (Q)
|
97% |
12782
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
39290
302.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73188
563.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
24415
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
159209
204.7 IPS |
|
|
Style Transfer (HP)
|
100% |
396853
510.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127643
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27455
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35556
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15750
583.2 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1152
25.7 IPS |
