Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4
Geekbench AI Score
12520
Single Precision Score
13195
Half Precision Score
9472
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5535
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5472
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4642
865.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8210
133.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12836
208.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7270
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81843
95.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
81162
94.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
68485
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
7215
572.3 IPS |
|
|
Object Detection (HP)
|
99% |
7300
580.7 IPS |
|
|
Object Detection (Q)
|
85% |
5676
456.8 IPS |
|
|
Face Detection (SP)
|
100% |
19184
227.9 IPS |
|
|
Face Detection (HP)
|
100% |
18531
220.2 IPS |
|
|
Face Detection (Q)
|
97% |
14704
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29922
230.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
29920
231.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24008
192.2 IPS |
|
|
Style Transfer (SP)
|
100% |
173831
223.5 IPS |
|
|
Style Transfer (HP)
|
100% |
167623
215.5 IPS |
|
|
Style Transfer (Q)
|
98% |
132455
170.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17478
645.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24334
898.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12679
469.5 IPS |
|
|
Text Classification (SP)
|
86% |
843
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
84% |
652
884.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1147
21.5 IPS |
