ASUS System Product Name
Geekbench ML Score
18200
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 05:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8516
1.59 KIPS |
|
|
Image Classification (F16)
|
100% |
9283
1.74 KIPS |
|
|
Image Classification (I8)
|
100% |
5870
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13430
224.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13514
225.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9995
166.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
171149
207.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
171333
207.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
124348
150.6 IPS |
|
|
Object Detection (F32)
|
100% |
6765
505.1 IPS |
|
|
Object Detection (F16)
|
100% |
6397
477.6 IPS |
|
|
Object Detection (I8)
|
56% |
5002
373.5 IPS |
|
|
Face Detection (F32)
|
100% |
28626
340.4 IPS |
|
|
Face Detection (F16)
|
100% |
29077
345.7 IPS |
|
|
Face Detection (I8)
|
89% |
19047
226.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
57541
446.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
51691
400.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
32828
254.6 IPS |
|
|
Style Transfer (F32)
|
100% |
265426
349.1 IPS |
|
|
Style Transfer (F16)
|
100% |
251694
331.1 IPS |
|
|
Style Transfer (I8)
|
98% |
179091
235.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36495
1.30 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
35954
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20367
727.4 IPS |
|
|
Text Classification (F32)
|
100% |
2615
3.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2535
3.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1297
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3748
69.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3770
69.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1588
29.2 IPS |
