LENOVO 74553VG
Geekbench AI Score
101
Single Precision Score
103
Half Precision Score
228
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 20 2025 12:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo P8600 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 74553VG |
| Motherboard | LENOVO 74553VG |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo P8600 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 3.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.25 IPS |
|
|
Image Classification (Q)
|
96% |
178
33.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
60
0.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
146
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
158
0.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
345
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.50 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.25 IPS |
|
|
Object Detection (Q)
|
58% |
125
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (HP)
|
100% |
122
1.45 IPS |
|
|
Face Detection (Q)
|
96% |
341
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
147
1.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
153
1.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
371
2.95 IPS |
|
|
Style Transfer (SP)
|
100% |
285
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
418
0.54 IPS |
|
|
Style Transfer (Q)
|
87% |
633
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
92
3.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
194
7.20 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (HP)
|
100% |
80
107.4 IPS |
|
|
Text Classification (Q)
|
97% |
103
137.5 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (Q)
|
68% |
221
4.28 IPS |
