Gigabyte Technology Co., Ltd. Z590 AORUS PRO AX
Geekbench AI Score
2104
Single Precision Score
1142
Half Precision Score
3031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 01 2024 11:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS PRO AX |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
2639
492.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1789
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
17057
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
88% |
1511
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
3091
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4481
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1699
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5673
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10132
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9187
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14082
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3355
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.4 IPS |
|
|
Text Classification (Q)
|
97% |
459
615.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1419
31.6 IPS |
