Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4
Geekbench AI Score
14503
Single Precision Score
22852
Half Precision Score
24374
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 09:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| 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% |
6103
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
9110
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
9425
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15122
245.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19823
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20626
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
74388
86.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
210869
246.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
332128
388.8 IPS |
|
|
Object Detection (SP)
|
100% |
5618
445.6 IPS |
|
|
Object Detection (HP)
|
100% |
10993
872.0 IPS |
|
|
Object Detection (Q)
|
88% |
11148
893.3 IPS |
|
|
Face Detection (SP)
|
100% |
26965
320.4 IPS |
|
|
Face Detection (HP)
|
100% |
38216
454.1 IPS |
|
|
Face Detection (Q)
|
100% |
39615
470.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26778
206.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59610
459.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
62062
482.4 IPS |
|
|
Style Transfer (SP)
|
100% |
194192
249.6 IPS |
|
|
Style Transfer (HP)
|
100% |
308873
397.1 IPS |
|
|
Style Transfer (Q)
|
98% |
381337
491.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19556
722.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27430
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28456
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1434
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2699
46.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2688
46.3 IPS |
