KSP ASUS System Product Name
Geekbench AI Score
9312
Single Precision Score
14985
Half Precision Score
6663
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 26 2025 10:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-E D4 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3961
736.6 IPS |
|
|
Image Classification (HP)
|
99% |
6361
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
3257
607.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4951
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6574
106.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4271
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49405
57.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
142920
166.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
40435
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4547
360.7 IPS |
|
|
Object Detection (HP)
|
100% |
7364
584.1 IPS |
|
|
Object Detection (Q)
|
84% |
3638
293.4 IPS |
|
|
Face Detection (SP)
|
100% |
9813
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
14628
173.8 IPS |
|
|
Face Detection (Q)
|
97% |
8100
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24575
189.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46959
362.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
17456
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80930
104.0 IPS |
|
|
Style Transfer (HP)
|
100% |
185445
238.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64014
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15376
567.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24410
901.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9283
343.7 IPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
2431
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
70% |
902
16.9 IPS |
