Gigabyte Technology Co., Ltd. X58A-UD3R
Geekbench AI Score
18
Single Precision Score
19
Half Precision Score
15
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | November 12 2025 09:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-950 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Gigabyte Technology Co., Ltd. X58A-UD3R |
| Motherboard | Gigabyte Technology Co., Ltd. X58A-UD3R |
| CPU Information | |
|---|---|
| Name | Intel Core i7-950 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 3.06 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11
2.02 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.02 IPS |
|
|
Image Classification (Q)
|
97% |
9
1.71 IPS |
|
|
Image Segmentation (SP)
|
100% |
15
0.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
15
0.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
12
0.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
17
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
17
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
15
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
10
0.83 IPS |
|
|
Object Detection (HP)
|
100% |
11
0.83 IPS |
|
|
Object Detection (Q)
|
87% |
9
0.71 IPS |
|
|
Face Detection (SP)
|
100% |
35
0.42 IPS |
|
|
Face Detection (HP)
|
100% |
35
0.42 IPS |
|
|
Face Detection (Q)
|
97% |
29
0.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
25
0.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
25
0.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
18
0.17 IPS |
|
|
Style Transfer (SP)
|
100% |
53
0.07 IPS |
|
|
Style Transfer (HP)
|
100% |
53
0.07 IPS |
|
|
Style Transfer (Q)
|
98% |
46
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11
0.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11
0.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10
0.36 IPS |
|
|
Text Classification (SP)
|
100% |
14
19.1 IPS |
|
|
Text Classification (HP)
|
100% |
14
19.1 IPS |
|
|
Text Classification (Q)
|
91% |
12
15.5 IPS |
|
|
Machine Translation (SP)
|
100% |
28
0.47 IPS |
|
|
Machine Translation (HP)
|
100% |
28
0.47 IPS |
|
|
Machine Translation (Q)
|
58% |
16
0.37 IPS |
