ASUS System Product Name
Geekbench AI Score
19804
Single Precision Score
36046
Half Precision Score
14937
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7947
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14462
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
6976
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13373
216.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19662
318.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12603
204.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102476
119.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
319113
372.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
85359
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
10523
834.7 IPS |
|
|
Object Detection (HP)
|
100% |
17422
1.38 KIPS |
|
|
Object Detection (Q)
|
89% |
8662
693.5 IPS |
|
|
Face Detection (SP)
|
100% |
23511
279.4 IPS |
|
|
Face Detection (HP)
|
100% |
37816
449.3 IPS |
|
|
Face Detection (Q)
|
97% |
19485
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
49456
381.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100361
773.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
39162
314.8 IPS |
|
|
Style Transfer (SP)
|
100% |
154405
198.5 IPS |
|
|
Style Transfer (HP)
|
100% |
538107
691.7 IPS |
|
|
Style Transfer (Q)
|
98% |
130811
168.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29268
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57201
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22829
845.3 IPS |
|
|
Text Classification (SP)
|
100% |
3540
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4471
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4485
77.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1678
37.4 IPS |
