Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
5697
Single Precision Score
5801
Half Precision Score
14224
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | danlopex |
| Upload Date | November 23 2024 03:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3243
603.0 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
100% |
9380
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4672
75.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4508
73.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8956
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9364
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9448
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33378
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3000
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (Q)
|
88% |
9349
749.4 IPS |
|
|
Face Detection (SP)
|
100% |
11179
132.8 IPS |
|
|
Face Detection (HP)
|
100% |
11093
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
25404
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10388
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10371
79.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26705
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28909
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29043
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90831
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5396
199.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15916
589.4 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1704
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4429
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2979
51.3 IPS |
