TOSHIBA Satellite A300
Geekbench AI Score
89
Single Precision Score
88
Half Precision Score
250
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 05 2025 02:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM)2 Duo CPU T6400 @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | TOSHIBA Satellite A300 |
| Motherboard | TOSHIBA Portable PC |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo T6400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
53
9.80 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.66 IPS |
|
|
Image Classification (Q)
|
100% |
172
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
173
2.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
353
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.89 IPS |
|
|
Object Detection (Q)
|
87% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
161
1.92 IPS |
|
|
Face Detection (HP)
|
100% |
162
1.92 IPS |
|
|
Face Detection (Q)
|
97% |
406
4.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
123
0.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
123
0.95 IPS |
|
|
Depth Estimation (Q)
|
81% |
425
3.36 IPS |
|
|
Style Transfer (SP)
|
100% |
252
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
250
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1129
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
1.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
1.98 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
219
8.12 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.8 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.4 IPS |
|
|
Text Classification (Q)
|
91% |
151
203.2 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (Q)
|
100% |
85
1.46 IPS |
