iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor
Geekbench ML Score
23814
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor |
| Motherboard | ASRock B650M-C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11225
2.10 KIPS |
|
|
Image Classification (F16)
|
100% |
11046
2.07 KIPS |
|
|
Image Classification (I8)
|
100% |
9766
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17747
296.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
17678
295.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
15808
264.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
171757
208.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
175067
212.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
156228
189.2 IPS |
|
|
Object Detection (F32)
|
100% |
7377
550.7 IPS |
|
|
Object Detection (F16)
|
100% |
7404
552.7 IPS |
|
|
Object Detection (I8)
|
56% |
6766
505.1 IPS |
|
|
Face Detection (F32)
|
100% |
35644
423.8 IPS |
|
|
Face Detection (F16)
|
100% |
35330
420.1 IPS |
|
|
Face Detection (I8)
|
89% |
30077
357.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
70644
547.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
66693
517.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
53549
415.3 IPS |
|
|
Style Transfer (F32)
|
100% |
305006
401.2 IPS |
|
|
Style Transfer (F16)
|
100% |
305145
401.4 IPS |
|
|
Style Transfer (I8)
|
98% |
271606
357.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
45665
1.63 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45234
1.62 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33125
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
3108
4.47 KIPS |
|
|
Text Classification (F16)
|
100% |
3085
4.43 KIPS |
|
|
Text Classification (I8)
|
98% |
1830
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4995
91.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4968
91.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2693
49.6 IPS |
