Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4
Geekbench AI Score
12299
Single Precision Score
13041
Half Precision Score
9436
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 07:35 AM |
| 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% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5433
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
4638
865.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8274
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12731
206.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7283
118.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81872
95.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
82232
96.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65938
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
7010
556.0 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.0 IPS |
|
|
Object Detection (Q)
|
85% |
5961
479.7 IPS |
|
|
Face Detection (SP)
|
100% |
19085
226.8 IPS |
|
|
Face Detection (HP)
|
100% |
19125
227.2 IPS |
|
|
Face Detection (Q)
|
97% |
14750
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29590
228.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
29908
231.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23729
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
173923
223.6 IPS |
|
|
Style Transfer (HP)
|
100% |
165147
212.3 IPS |
|
|
Style Transfer (Q)
|
98% |
128856
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17642
651.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24815
916.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12826
474.9 IPS |
|
|
Text Classification (SP)
|
86% |
822
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
84% |
642
871.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1135
21.3 IPS |
