LENOVO 20TAA006CD
Geekbench AI Score
3371
Single Precision Score
3623
Half Precision Score
2440
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sheep0210 |
| Upload Date | April 05 2025 02:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX450 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | LENOVO 20TAA006CD |
| Motherboard | LENOVO 20TAA006CD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.4 IPS |
|
|
Image Classification (Q)
|
99% |
1283
239.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10079
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (Q)
|
83% |
1407
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (Q)
|
97% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7918
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8282
63.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5807
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30381
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23790
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22082
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2941
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.9 IPS |
|
|
Text Classification (Q)
|
97% |
549
735.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1164
20.1 IPS |
|
|
Machine Translation (Q)
|
70% |
552
10.4 IPS |
