Gigabyte Technology Co., Ltd. G41M-Combo
Geekbench AI Score
12
Single Precision Score
12
Half Precision Score
10
Quantized Score
Geekbench AI 1.2.0 Pro for Linux x86 (64-bit)
Result Information
| User | Technologov |
| Upload Date | February 18 2025 01:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 2 Quad Q6600 |
| 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 Quad Q6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 11 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7
1.39 IPS |
|
|
Image Classification (HP)
|
100% |
7
1.39 IPS |
|
|
Image Classification (Q)
|
97% |
6
1.16 IPS |
|
|
Image Segmentation (SP)
|
100% |
10
0.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
10
0.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
8
0.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
12
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
12
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
10
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
7
0.57 IPS |
|
|
Object Detection (HP)
|
100% |
7
0.57 IPS |
|
|
Object Detection (Q)
|
87% |
6
0.48 IPS |
|
|
Face Detection (SP)
|
100% |
24
0.29 IPS |
|
|
Face Detection (HP)
|
100% |
24
0.29 IPS |
|
|
Face Detection (Q)
|
97% |
20
0.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
17
0.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
17
0.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
12
0.11 IPS |
|
|
Style Transfer (SP)
|
100% |
36
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
36
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
31
0.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8
0.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8
0.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6
0.24 IPS |
|
|
Text Classification (SP)
|
100% |
10
13.1 IPS |
|
|
Text Classification (HP)
|
100% |
10
13.1 IPS |
|
|
Text Classification (Q)
|
91% |
8
10.4 IPS |
|
|
Machine Translation (SP)
|
100% |
19
0.32 IPS |
|
|
Machine Translation (HP)
|
100% |
19
0.32 IPS |
|
|
Machine Translation (Q)
|
58% |
11
0.25 IPS |
