Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
32527
Single Precision Score
55012
Half Precision Score
24623
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pom8646 |
| Upload Date | April 20 2025 02:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13765
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
20942
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
12101
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23164
375.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32930
533.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20585
334.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
174258
203.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
649420
757.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
156623
183.5 IPS |
|
|
Object Detection (SP)
|
100% |
16206
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25590
2.03 KIPS |
|
|
Object Detection (Q)
|
86% |
13576
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
45929
545.7 IPS |
|
|
Face Detection (HP)
|
100% |
62907
747.5 IPS |
|
|
Face Detection (Q)
|
97% |
37924
452.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84108
648.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
138372
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62066
495.6 IPS |
|
|
Style Transfer (SP)
|
100% |
316261
406.6 IPS |
|
|
Style Transfer (HP)
|
100% |
983462
1.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
262865
339.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46926
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76433
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36263
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6351
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6400
110.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2874
53.9 IPS |
