Gigabyte Technology Co., Ltd. EX58-UD5
Geekbench AI Score
270
Single Precision Score
178
Half Precision Score
407
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Paulino |
| Upload Date | January 04 2025 09:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-920 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. EX58-UD5 |
| Motherboard | Gigabyte Technology Co., Ltd. EX58-UD5 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-920 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
96% |
296
55.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
277
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
591
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (Q)
|
58% |
222
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
241
2.87 IPS |
|
|
Face Detection (Q)
|
96% |
720
8.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
681
5.42 IPS |
|
|
Style Transfer (SP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
836
1.08 IPS |
|
|
Style Transfer (Q)
|
87% |
1391
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.0 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (Q)
|
97% |
139
185.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
131
2.26 IPS |
|
|
Machine Translation (Q)
|
68% |
407
7.86 IPS |
