iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor
Geekbench ML Score
23151
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | AnilDesai |
| Upload Date | August 16 2024 05:00 PM |
| Views | 3 |
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% |
10405
1.95 KIPS |
|
|
Image Classification (F16)
|
100% |
10876
2.04 KIPS |
|
|
Image Classification (I8)
|
100% |
8906
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17926
299.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
17428
291.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
16413
274.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
176500
213.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
174664
211.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
154672
187.3 IPS |
|
|
Object Detection (F32)
|
100% |
7207
538.1 IPS |
|
|
Object Detection (F16)
|
100% |
7157
534.3 IPS |
|
|
Object Detection (I8)
|
56% |
6427
479.8 IPS |
|
|
Face Detection (F32)
|
100% |
34020
404.5 IPS |
|
|
Face Detection (F16)
|
100% |
35645
423.8 IPS |
|
|
Face Detection (I8)
|
89% |
29264
348.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
68110
528.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
62087
481.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
51046
395.9 IPS |
|
|
Style Transfer (F32)
|
100% |
304721
400.8 IPS |
|
|
Style Transfer (F16)
|
100% |
305124
401.4 IPS |
|
|
Style Transfer (I8)
|
98% |
269091
354.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44445
1.59 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42680
1.52 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32098
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
2913
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
2872
4.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1740
2.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
4908
90.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4784
88.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2656
48.9 IPS |
