ASUS System Product Name
Geekbench AI Score
18484
Single Precision Score
31857
Half Precision Score
11953
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 06:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7620
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
12692
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
5557
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13193
213.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21235
344.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10265
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
92461
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
265916
310.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75040
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
9287
736.6 IPS |
|
|
Object Detection (HP)
|
100% |
16602
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
6882
554.0 IPS |
|
|
Face Detection (SP)
|
100% |
22694
269.7 IPS |
|
|
Face Detection (HP)
|
100% |
37454
445.0 IPS |
|
|
Face Detection (Q)
|
97% |
17206
205.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44470
342.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85686
660.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
29335
234.8 IPS |
|
|
Style Transfer (SP)
|
100% |
153256
197.0 IPS |
|
|
Style Transfer (HP)
|
100% |
393865
506.3 IPS |
|
|
Style Transfer (Q)
|
98% |
119645
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29812
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42860
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16893
625.5 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3653
4.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1294
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1531
28.7 IPS |
