NEW i9 3080 ASUS System Product Name
Geekbench AI Score
18335
Single Precision Score
28875
Half Precision Score
10816
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | microtechcs |
| Upload Date | October 11 2025 01:10 AM |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI II |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
9915
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
4993
928.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12388
200.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18928
306.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8946
145.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
108781
126.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
323159
377.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
80407
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
8925
707.9 IPS |
|
|
Object Detection (HP)
|
100% |
13317
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
6141
494.0 IPS |
|
|
Face Detection (SP)
|
100% |
22705
269.8 IPS |
|
|
Face Detection (HP)
|
100% |
32193
382.5 IPS |
|
|
Face Detection (Q)
|
97% |
15433
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52048
401.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87166
671.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27745
222.3 IPS |
|
|
Style Transfer (SP)
|
100% |
194049
249.5 IPS |
|
|
Style Transfer (HP)
|
100% |
541392
696.0 IPS |
|
|
Style Transfer (Q)
|
98% |
137054
176.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29593
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39861
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14832
549.2 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2835
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1052
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2842
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2906
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1085
20.3 IPS |
