TOSHIBA Qosmio G40
Geekbench AI Score
84
Single Precision Score
82
Half Precision Score
126
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 30 2025 11:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo T7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | TOSHIBA Qosmio G40 |
| Motherboard | TOSHIBA Portable PC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo T7500 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 11 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
48
8.95 IPS |
|
|
Image Classification (HP)
|
100% |
39
7.34 IPS |
|
|
Image Classification (Q)
|
99% |
78
14.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
52
0.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
94
1.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
84
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
119
0.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
169
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.67 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.34 IPS |
|
|
Object Detection (Q)
|
86% |
76
6.13 IPS |
|
|
Face Detection (SP)
|
100% |
141
1.68 IPS |
|
|
Face Detection (HP)
|
100% |
101
1.20 IPS |
|
|
Face Detection (Q)
|
97% |
227
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
118
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
119
0.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
187
1.49 IPS |
|
|
Style Transfer (SP)
|
100% |
229
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
383
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
70
2.60 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
100
3.71 IPS |
|
|
Text Classification (SP)
|
100% |
91
121.4 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.5 IPS |
|
|
Text Classification (Q)
|
97% |
69
93.1 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.85 IPS |
|
|
Machine Translation (HP)
|
100% |
77
1.32 IPS |
|
|
Machine Translation (Q)
|
65% |
99
2.00 IPS |
