System manufacturer System Product Name
Geekbench ML Score
13390
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7312
1.37 KIPS |
|
|
Image Classification (F16)
|
100% |
7182
1.34 KIPS |
|
|
Image Classification (I8)
|
100% |
6496
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8612
143.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8694
145.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
8197
136.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
102501
124.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
100148
121.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
89707
108.6 IPS |
|
|
Object Detection (F32)
|
100% |
2975
222.1 IPS |
|
|
Object Detection (F16)
|
100% |
2938
219.4 IPS |
|
|
Object Detection (I8)
|
63% |
2859
213.4 IPS |
|
|
Face Detection (F32)
|
100% |
16228
193.0 IPS |
|
|
Face Detection (F16)
|
100% |
16091
191.3 IPS |
|
|
Face Detection (I8)
|
89% |
14189
168.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
42268
327.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
41169
319.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
35772
277.4 IPS |
|
|
Style Transfer (F32)
|
100% |
173077
227.7 IPS |
|
|
Style Transfer (F16)
|
100% |
172910
227.4 IPS |
|
|
Style Transfer (I8)
|
98% |
155385
204.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26984
963.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27220
972.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21560
770.0 IPS |
|
|
Text Classification (F32)
|
100% |
2232
3.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2263
3.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1518
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
2481
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2493
45.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1642
30.2 IPS |
