Gigabyte Technology Co., Ltd. Z390 AORUS PRO
Geekbench AI Score
18230
Single Precision Score
25934
Half Precision Score
12429
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jankkhvej |
| Upload Date | March 16 2025 10:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro N (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS PRO-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7072
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
9178
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
4957
921.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11079
179.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13895
225.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8927
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
125163
146.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
310908
362.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
101533
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
9750
773.4 IPS |
|
|
Object Detection (HP)
|
100% |
12730
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
7088
570.2 IPS |
|
|
Face Detection (SP)
|
100% |
18875
224.3 IPS |
|
|
Face Detection (HP)
|
100% |
25156
298.9 IPS |
|
|
Face Detection (Q)
|
97% |
18562
221.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55584
428.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86415
665.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34427
275.8 IPS |
|
|
Style Transfer (SP)
|
100% |
231828
298.0 IPS |
|
|
Style Transfer (HP)
|
100% |
494673
635.9 IPS |
|
|
Style Transfer (Q)
|
98% |
171274
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29266
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34594
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17499
648.0 IPS |
|
|
Text Classification (SP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3189
4.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1105
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1306
24.5 IPS |
