ASUS System Product Name
Geekbench ML Score
10876
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 04:31 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-I GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5218
976.5 IPS |
|
|
Image Classification (F16)
|
100% |
5239
980.4 IPS |
|
|
Image Classification (I8)
|
100% |
3875
725.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8705
145.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8516
142.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6882
114.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
66209
80.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
66241
80.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
54170
65.6 IPS |
|
|
Object Detection (F32)
|
100% |
4576
341.7 IPS |
|
|
Object Detection (F16)
|
100% |
4359
325.4 IPS |
|
|
Object Detection (I8)
|
61% |
3677
274.5 IPS |
|
|
Face Detection (F32)
|
100% |
14632
174.0 IPS |
|
|
Face Detection (F16)
|
100% |
14663
174.3 IPS |
|
|
Face Detection (I8)
|
89% |
11195
133.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
30901
239.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
29666
230.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
22159
171.8 IPS |
|
|
Style Transfer (F32)
|
100% |
111114
146.2 IPS |
|
|
Style Transfer (F16)
|
100% |
105700
139.0 IPS |
|
|
Style Transfer (I8)
|
98% |
85341
112.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19562
698.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19080
681.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12753
455.4 IPS |
|
|
Text Classification (F32)
|
100% |
1948
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1992
2.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1022
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
3124
57.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3117
57.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1468
27.0 IPS |
