Gigabyte Technology Co., Ltd. Z490M GAMING X
Geekbench AI Score
2452
Single Precision Score
650
Half Precision Score
2807
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | August 16 2024 09:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z490M GAMING X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
97% |
2383
444.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
1667
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4681
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (Q)
|
87% |
10477
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1707
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
243
2.89 IPS |
|
|
Face Detection (Q)
|
96% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4723
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.13 IPS |
|
|
Depth Estimation (Q)
|
76% |
5511
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11863
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8362
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13469
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2783
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.2 IPS |
|
|
Text Classification (Q)
|
97% |
384
513.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1608
35.9 IPS |
