Gigabyte Technology Co., Ltd. G41M-Combo
Geekbench AI Score
8
Single Precision Score
8
Half Precision Score
6
Quantized Score
Geekbench AI 1.2.0 Pro for Linux x86 (64-bit)
Result Information
| User | Technologov |
| Upload Date | January 28 2025 03:12 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 2 Duo E8400 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Gigabyte Technology Co., Ltd. G41M-Combo |
| Motherboard | Gigabyte Technology Co., Ltd. G41M-Combo |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E8400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5
0.88 IPS |
|
|
Image Classification (HP)
|
100% |
5
0.88 IPS |
|
|
Image Classification (Q)
|
97% |
4
0.73 IPS |
|
|
Image Segmentation (SP)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
5
0.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
6
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
5
0.36 IPS |
|
|
Object Detection (HP)
|
100% |
5
0.36 IPS |
|
|
Object Detection (Q)
|
87% |
4
0.30 IPS |
|
|
Face Detection (SP)
|
100% |
15
0.18 IPS |
|
|
Face Detection (HP)
|
100% |
15
0.18 IPS |
|
|
Face Detection (Q)
|
97% |
13
0.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
11
0.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
11
0.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
8
0.07 IPS |
|
|
Style Transfer (SP)
|
100% |
23
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
23
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
19
0.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5
0.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5
0.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4
0.15 IPS |
|
|
Text Classification (SP)
|
100% |
6
8.32 IPS |
|
|
Text Classification (HP)
|
100% |
6
8.31 IPS |
|
|
Text Classification (Q)
|
91% |
5
6.76 IPS |
|
|
Machine Translation (SP)
|
100% |
12
0.21 IPS |
|
|
Machine Translation (HP)
|
100% |
12
0.21 IPS |
|
|
Machine Translation (Q)
|
58% |
7
0.17 IPS |
