Gigabyte Technology Co., Ltd. Z590 VISION G
Geekbench AI Score
16372
Single Precision Score
27104
Half Precision Score
11008
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fsg |
| Upload Date | December 18 2024 11:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 VISION G |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7001
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10704
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
5175
962.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10404
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14875
241.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8276
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
89732
104.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
254735
297.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72682
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
8395
665.9 IPS |
|
|
Object Detection (HP)
|
100% |
14329
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
6448
519.1 IPS |
|
|
Face Detection (SP)
|
100% |
19360
230.0 IPS |
|
|
Face Detection (HP)
|
100% |
29714
353.1 IPS |
|
|
Face Detection (Q)
|
97% |
15269
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40172
309.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77740
598.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
27026
216.3 IPS |
|
|
Style Transfer (SP)
|
100% |
148787
191.3 IPS |
|
|
Style Transfer (HP)
|
100% |
378379
486.4 IPS |
|
|
Style Transfer (Q)
|
98% |
119122
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28407
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39237
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16495
610.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3188
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1191
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1348
25.3 IPS |
