ASUS System Product Name
Geekbench ML Score
11099
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 10:09 PM |
| 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 Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5515
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5523
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
4636
867.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8035
134.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8121
135.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7296
121.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
84778
102.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
84275
102.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
68028
82.4 IPS |
|
|
Object Detection (F32)
|
100% |
5016
374.5 IPS |
|
|
Object Detection (F16)
|
100% |
5081
379.3 IPS |
|
|
Object Detection (I8)
|
60% |
4460
332.9 IPS |
|
|
Face Detection (F32)
|
100% |
16742
199.1 IPS |
|
|
Face Detection (F16)
|
100% |
16466
195.8 IPS |
|
|
Face Detection (I8)
|
88% |
12675
150.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
30485
236.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
30466
236.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
25196
195.4 IPS |
|
|
Style Transfer (F32)
|
100% |
171079
225.0 IPS |
|
|
Style Transfer (F16)
|
100% |
173741
228.5 IPS |
|
|
Style Transfer (I8)
|
98% |
134017
176.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17693
631.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18064
645.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13287
474.5 IPS |
|
|
Text Classification (F32)
|
90% |
844
1.21 KIPS |
|
|
Text Classification (F16)
|
90% |
844
1.21 KIPS |
|
|
Text Classification (I8)
|
90% |
637
916.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2592
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2592
47.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1460
26.9 IPS |
