Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
24139
Single Precision Score
38135
Half Precision Score
14058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 04:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9060
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
15129
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
6154
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16801
272.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23930
387.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12010
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
132742
154.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
379278
442.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
104281
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
12180
966.2 IPS |
|
|
Object Detection (HP)
|
100% |
17212
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8074
649.5 IPS |
|
|
Face Detection (SP)
|
100% |
33607
399.3 IPS |
|
|
Face Detection (HP)
|
100% |
47764
567.5 IPS |
|
|
Face Detection (Q)
|
97% |
21167
252.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
60266
464.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
107169
825.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35349
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
245567
315.7 IPS |
|
|
Style Transfer (HP)
|
100% |
602593
774.6 IPS |
|
|
Style Transfer (Q)
|
98% |
179179
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35806
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45860
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19529
723.1 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4711
81.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1377
25.8 IPS |
