Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
4503
Single Precision Score
1711
Half Precision Score
6439
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pom8646 |
| Upload Date | April 20 2025 03:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3594
668.4 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
6964
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3253
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7801
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4954
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
25015
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3267
259.1 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
6371
512.0 IPS |
|
|
Face Detection (SP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
10017
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9868
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16102
128.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18040
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12444
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20481
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
611
819.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3429
68.9 IPS |
