Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
34032
Single Precision Score
49650
Half Precision Score
26435
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 07:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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 | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13109
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
18281
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11251
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20958
339.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
27369
443.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19999
325.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
268316
313.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
520985
607.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
236814
277.5 IPS |
|
|
Object Detection (SP)
|
100% |
16305
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
22343
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
13314
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
45434
539.9 IPS |
|
|
Face Detection (HP)
|
100% |
59062
701.8 IPS |
|
|
Face Detection (Q)
|
97% |
39807
474.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
85547
659.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
156083
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64541
515.4 IPS |
|
|
Style Transfer (SP)
|
100% |
393343
505.6 IPS |
|
|
Style Transfer (HP)
|
100% |
899024
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
347790
448.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54716
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75903
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42045
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2296
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5487
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5386
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2724
51.1 IPS |
