ASUS System Product Name
Geekbench AI Score
25482
Single Precision Score
37889
Half Precision Score
15394
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 03:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-A |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| 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% |
8834
1.64 KIPS |
|
|
Image Classification (HP)
|
99% |
12954
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17908
290.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25891
419.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12727
206.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
172739
201.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
372729
434.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
130944
153.4 IPS |
|
|
Object Detection (SP)
|
100% |
12887
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
17276
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8628
694.1 IPS |
|
|
Face Detection (SP)
|
100% |
37275
442.9 IPS |
|
|
Face Detection (HP)
|
100% |
51364
610.3 IPS |
|
|
Face Detection (Q)
|
97% |
24116
287.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65049
501.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105902
815.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38326
306.9 IPS |
|
|
Style Transfer (SP)
|
100% |
275972
354.8 IPS |
|
|
Style Transfer (HP)
|
100% |
630240
810.2 IPS |
|
|
Style Transfer (Q)
|
98% |
196463
253.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37230
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51434
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22017
815.2 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1626
30.5 IPS |
