LENOVO 90NC00JBUS
Geekbench AI Score
15654
Single Precision Score
25108
Half Precision Score
10648
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PeterJFrancoIII |
| Upload Date | October 18 2025 08:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90NC00JBUS |
| Motherboard | LENOVO 3717 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4907
912.5 IPS |
|
|
Image Classification (HP)
|
99% |
9551
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
3868
719.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10416
168.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14080
228.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8350
135.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
87212
101.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
246061
287.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
71443
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
8547
677.9 IPS |
|
|
Object Detection (HP)
|
100% |
12458
988.2 IPS |
|
|
Object Detection (Q)
|
85% |
6566
528.5 IPS |
|
|
Face Detection (SP)
|
100% |
19824
235.6 IPS |
|
|
Face Detection (HP)
|
100% |
28381
337.2 IPS |
|
|
Face Detection (Q)
|
97% |
14940
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41341
318.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67204
517.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
27695
221.8 IPS |
|
|
Style Transfer (SP)
|
100% |
159903
205.6 IPS |
|
|
Style Transfer (HP)
|
100% |
371216
477.2 IPS |
|
|
Style Transfer (Q)
|
98% |
122710
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25015
923.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38864
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16703
618.5 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3209
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1153
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |
