ASUS System Product Name
Geekbench ML Score
20973
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 04 2025 05:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z590-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9245
1.73 KIPS |
|
|
Image Classification (F16)
|
100% |
9090
1.70 KIPS |
|
|
Image Classification (I8)
|
100% |
8011
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14088
235.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13994
233.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13200
220.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
161819
196.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
161765
195.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
147714
178.9 IPS |
|
|
Object Detection (F32)
|
100% |
6580
491.3 IPS |
|
|
Object Detection (F16)
|
100% |
6146
458.8 IPS |
|
|
Object Detection (I8)
|
50% |
6219
464.3 IPS |
|
|
Face Detection (F32)
|
100% |
30464
362.2 IPS |
|
|
Face Detection (F16)
|
100% |
30351
360.9 IPS |
|
|
Face Detection (I8)
|
89% |
26014
309.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
73542
570.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
73436
569.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
57984
449.7 IPS |
|
|
Style Transfer (F32)
|
100% |
278897
366.9 IPS |
|
|
Style Transfer (F16)
|
100% |
276704
364.0 IPS |
|
|
Style Transfer (I8)
|
98% |
234896
309.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32429
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
34045
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27364
977.2 IPS |
|
|
Text Classification (F32)
|
100% |
3163
4.55 KIPS |
|
|
Text Classification (F16)
|
100% |
3161
4.54 KIPS |
|
|
Text Classification (I8)
|
98% |
2034
2.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3660
67.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3609
66.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2366
43.5 IPS |
