Gigabyte Technology Co., Ltd. Z390 I AORUS PRO WIFI
Geekbench AI Score
21596
Single Precision Score
30655
Half Precision Score
13472
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | catnight |
| Upload Date | August 31 2025 01:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 I AORUS PRO WIFI-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7269
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
10761
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
5338
992.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
13457
218.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17090
277.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10202
165.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
170271
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
329741
384.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
123533
144.7 IPS |
|
|
Object Detection (SP)
|
100% |
10319
818.5 IPS |
|
|
Object Detection (HP)
|
100% |
13272
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
7362
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
28712
341.2 IPS |
|
|
Face Detection (HP)
|
100% |
37118
441.0 IPS |
|
|
Face Detection (Q)
|
97% |
19954
237.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
58376
449.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89696
691.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35457
284.0 IPS |
|
|
Style Transfer (SP)
|
100% |
252970
325.2 IPS |
|
|
Style Transfer (HP)
|
100% |
534958
687.7 IPS |
|
|
Style Transfer (Q)
|
98% |
185923
239.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31740
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43331
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19569
724.6 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1339
25.1 IPS |
