TOSHIBA Qosmio G40
Geekbench AI Score
63
Single Precision Score
64
Half Precision Score
101
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 29 2025 05:23 PM |
| Views | 4 |
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% |
40
7.42 IPS |
|
|
Image Classification (Q)
|
99% |
79
14.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
50
0.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
93
1.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
107
0.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
170
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.53 IPS |
|
|
Object Detection (HP)
|
100% |
29
2.26 IPS |
|
|
Object Detection (Q)
|
86% |
52
4.14 IPS |
|
|
Face Detection (SP)
|
100% |
98
1.17 IPS |
|
|
Face Detection (HP)
|
100% |
68
0.81 IPS |
|
|
Face Detection (Q)
|
97% |
158
1.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
83
0.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
83
0.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
128
1.02 IPS |
|
|
Style Transfer (SP)
|
100% |
168
0.22 IPS |
|
|
Style Transfer (HP)
|
100% |
224
0.29 IPS |
|
|
Style Transfer (Q)
|
98% |
265
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35
1.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45
1.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
70
2.58 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.2 IPS |
|
|
Text Classification (HP)
|
100% |
43
57.0 IPS |
|
|
Text Classification (Q)
|
97% |
48
64.7 IPS |
|
|
Machine Translation (SP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (HP)
|
100% |
75
1.29 IPS |
|
|
Machine Translation (Q)
|
65% |
98
1.97 IPS |
