Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
29935
Single Precision Score
45406
Half Precision Score
23155
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 19 2025 05:08 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11618
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
17614
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10356
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21264
344.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28000
453.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19269
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
178975
208.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
440227
513.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
160593
188.2 IPS |
|
|
Object Detection (SP)
|
100% |
14399
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
21983
1.74 KIPS |
|
|
Object Detection (Q)
|
85% |
12359
994.2 IPS |
|
|
Face Detection (SP)
|
100% |
41298
490.7 IPS |
|
|
Face Detection (HP)
|
100% |
56003
665.4 IPS |
|
|
Face Detection (Q)
|
97% |
35336
421.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
71014
547.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
117873
910.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
55108
440.6 IPS |
|
|
Style Transfer (SP)
|
100% |
305919
393.3 IPS |
|
|
Style Transfer (HP)
|
100% |
707078
909.0 IPS |
|
|
Style Transfer (Q)
|
98% |
272407
351.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47980
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61701
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35403
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3765
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2270
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5600
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5552
95.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2625
49.2 IPS |
