ASUS System Product Name
Geekbench ML Score
28311
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 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 | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12083
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12235
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10670
2.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18018
300.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
18522
309.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
17327
289.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
278223
336.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
281341
340.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
247495
299.7 IPS |
|
|
Object Detection (F32)
|
100% |
8436
629.8 IPS |
|
|
Object Detection (F16)
|
100% |
8231
614.5 IPS |
|
|
Object Detection (I8)
|
54% |
7820
583.8 IPS |
|
|
Face Detection (F32)
|
100% |
43616
518.6 IPS |
|
|
Face Detection (F16)
|
100% |
43353
515.5 IPS |
|
|
Face Detection (I8)
|
88% |
36643
435.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
89786
696.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
84147
652.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
63285
490.8 IPS |
|
|
Style Transfer (F32)
|
100% |
473567
622.9 IPS |
|
|
Style Transfer (F16)
|
100% |
474700
624.4 IPS |
|
|
Style Transfer (I8)
|
98% |
406446
534.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
54576
1.95 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53260
1.90 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
40053
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
3150
4.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3219
4.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1885
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
4599
84.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4662
85.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2613
48.1 IPS |
