NEW i9 3080 ASUS System Product Name
Geekbench AI Score
19004
Single Precision Score
29591
Half Precision Score
11094
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | microtechcs |
| Upload Date | October 11 2025 01:08 AM |
| Views | 8 |
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% |
7239
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
10640
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
4633
861.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13655
221.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19249
312.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8732
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
113591
132.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
339966
396.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
85008
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
9342
741.0 IPS |
|
|
Object Detection (HP)
|
100% |
13276
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6059
487.4 IPS |
|
|
Face Detection (SP)
|
100% |
24752
294.1 IPS |
|
|
Face Detection (HP)
|
100% |
32747
389.1 IPS |
|
|
Face Detection (Q)
|
97% |
16632
198.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47692
367.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91377
704.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29345
235.1 IPS |
|
|
Style Transfer (SP)
|
100% |
211453
271.8 IPS |
|
|
Style Transfer (HP)
|
100% |
545477
701.2 IPS |
|
|
Style Transfer (Q)
|
98% |
147108
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32595
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37728
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15713
581.8 IPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3114
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1081
20.3 IPS |
