Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
5919
Single Precision Score
5887
Half Precision Score
13928
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | danlopex |
| Upload Date | November 23 2024 04:18 PM |
| Views | 5 |
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% |
4069
756.6 IPS |
|
|
Image Classification (HP)
|
100% |
3804
707.5 IPS |
|
|
Image Classification (Q)
|
100% |
9095
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4769
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4762
77.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7240
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9693
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9779
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33985
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (HP)
|
100% |
3444
273.2 IPS |
|
|
Object Detection (Q)
|
88% |
9338
748.6 IPS |
|
|
Face Detection (SP)
|
100% |
11469
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
11368
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
25280
300.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10382
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10249
79.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
26939
209.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27304
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27250
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90743
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5332
196.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15913
589.3 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
4470
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2938
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2991
51.5 IPS |
