Gigabyte Technology Co., Ltd. Z490M GAMING X
Geekbench AI Score
19390
Single Precision Score
28018
Half Precision Score
12355
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | August 16 2024 09:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
7106
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
11329
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
5428
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11298
183.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14587
236.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8970
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
129933
151.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
351630
410.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
102953
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
9736
772.3 IPS |
|
|
Object Detection (HP)
|
100% |
13125
1.04 KIPS |
|
|
Object Detection (Q)
|
89% |
6922
554.2 IPS |
|
|
Face Detection (SP)
|
100% |
23622
280.7 IPS |
|
|
Face Detection (HP)
|
100% |
23341
277.3 IPS |
|
|
Face Detection (Q)
|
97% |
16597
197.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
50643
390.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85448
658.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
31648
255.2 IPS |
|
|
Style Transfer (SP)
|
100% |
237773
305.7 IPS |
|
|
Style Transfer (HP)
|
100% |
518886
667.0 IPS |
|
|
Style Transfer (Q)
|
98% |
173827
224.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31502
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37938
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19305
714.9 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1081
24.1 IPS |
