ASUS System Product Name
Geekbench ML Score
16970
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | markobabic |
| Upload Date | February 27 2026 01:02 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8261
1.55 KIPS |
|
|
Image Classification (F16)
|
100% |
8610
1.61 KIPS |
|
|
Image Classification (I8)
|
100% |
7579
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12248
204.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12293
205.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
11260
188.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
107463
130.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
107772
130.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
95048
115.1 IPS |
|
|
Object Detection (F32)
|
100% |
5410
403.9 IPS |
|
|
Object Detection (F16)
|
100% |
5397
402.9 IPS |
|
|
Object Detection (I8)
|
63% |
5021
374.8 IPS |
|
|
Face Detection (F32)
|
100% |
21542
256.1 IPS |
|
|
Face Detection (F16)
|
100% |
21681
257.8 IPS |
|
|
Face Detection (I8)
|
89% |
18157
215.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
52199
404.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
49462
383.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
41133
319.0 IPS |
|
|
Style Transfer (F32)
|
100% |
185576
244.1 IPS |
|
|
Style Transfer (F16)
|
100% |
184517
242.7 IPS |
|
|
Style Transfer (I8)
|
98% |
165896
218.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31697
1.13 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32204
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24802
885.8 IPS |
|
|
Text Classification (F32)
|
100% |
2789
4.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2788
4.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1796
2.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
3711
68.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3711
68.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2118
39.0 IPS |
