ASUSTeK Computer Inc. F7E
Geekbench AI Score
108
Single Precision Score
107
Half Precision Score
239
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | September 24 2025 11:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo T9300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise N LTSC (64-bit) |
| Model | ASUSTeK Computer Inc. F7E |
| Motherboard | ASUSTeK Computer Inc. F7E |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo T9300 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.29 IPS |
|
|
Image Classification (Q)
|
96% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
158
2.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
164
0.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
357
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.73 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.45 IPS |
|
|
Object Detection (Q)
|
58% |
129
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (HP)
|
100% |
124
1.48 IPS |
|
|
Face Detection (Q)
|
96% |
353
4.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
151
1.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
156
1.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
384
3.06 IPS |
|
|
Style Transfer (SP)
|
100% |
294
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
434
0.56 IPS |
|
|
Style Transfer (Q)
|
87% |
640
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
98
3.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
200
7.41 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.2 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.6 IPS |
|
|
Text Classification (Q)
|
97% |
106
142.4 IPS |
|
|
Machine Translation (SP)
|
100% |
131
2.25 IPS |
|
|
Machine Translation (HP)
|
100% |
96
1.65 IPS |
|
|
Machine Translation (Q)
|
68% |
254
4.90 IPS |
