ASUS System Product Name
Geekbench AI Score
19929
Single Precision Score
25598
Half Precision Score
16387
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 26 2025 03:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9270
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
11368
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8368
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13195
213.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10914
176.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11560
188.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106095
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
208202
242.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
94131
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
7569
600.3 IPS |
|
|
Object Detection (HP)
|
99% |
11776
934.1 IPS |
|
|
Object Detection (Q)
|
87% |
6970
559.8 IPS |
|
|
Face Detection (SP)
|
100% |
26263
312.1 IPS |
|
|
Face Detection (HP)
|
100% |
34786
413.3 IPS |
|
|
Face Detection (Q)
|
97% |
22306
266.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53494
412.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64632
498.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
44044
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
184880
237.7 IPS |
|
|
Style Transfer (HP)
|
100% |
287390
369.4 IPS |
|
|
Style Transfer (Q)
|
98% |
158573
204.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30429
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41052
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24365
902.2 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2445
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2371
44.5 IPS |
