ASUS System Product Name
Geekbench ML Score
8084
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:41 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-E D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4673
874.5 IPS |
|
|
Image Classification (F16)
|
100% |
4616
863.8 IPS |
|
|
Image Classification (I8)
|
100% |
3354
627.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5533
92.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5125
85.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4714
78.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
45378
55.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
42955
52.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
42925
52.0 IPS |
|
|
Object Detection (F32)
|
100% |
3385
252.7 IPS |
|
|
Object Detection (F16)
|
100% |
3003
224.2 IPS |
|
|
Object Detection (I8)
|
61% |
2618
195.4 IPS |
|
|
Face Detection (F32)
|
100% |
11301
134.4 IPS |
|
|
Face Detection (F16)
|
100% |
11247
133.7 IPS |
|
|
Face Detection (I8)
|
89% |
8173
97.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
20226
156.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27064
209.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
14783
114.6 IPS |
|
|
Style Transfer (F32)
|
100% |
93742
123.3 IPS |
|
|
Style Transfer (F16)
|
100% |
70105
92.2 IPS |
|
|
Style Transfer (I8)
|
98% |
65812
86.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13797
492.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13098
467.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8090
288.9 IPS |
|
|
Text Classification (F32)
|
100% |
1298
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1319
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
908
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2613
48.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2700
49.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1353
24.9 IPS |
