iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor
Geekbench ML Score
23600
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | AnilDesai |
| Upload Date | August 15 2024 06:01 PM |
| Views | 2 |
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% |
10971
2.05 KIPS |
|
|
Image Classification (F16)
|
100% |
11440
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9673
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17838
297.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
17615
294.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
14599
243.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
175555
212.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
175944
213.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
158541
192.0 IPS |
|
|
Object Detection (F32)
|
100% |
7350
548.7 IPS |
|
|
Object Detection (F16)
|
100% |
7465
557.3 IPS |
|
|
Object Detection (I8)
|
56% |
6709
500.9 IPS |
|
|
Face Detection (F32)
|
100% |
34830
414.1 IPS |
|
|
Face Detection (F16)
|
100% |
37442
445.2 IPS |
|
|
Face Detection (I8)
|
89% |
29458
350.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
67472
523.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
65126
505.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
51809
401.8 IPS |
|
|
Style Transfer (F32)
|
100% |
294890
387.9 IPS |
|
|
Style Transfer (F16)
|
100% |
300913
395.8 IPS |
|
|
Style Transfer (I8)
|
98% |
270447
355.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44568
1.59 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43974
1.57 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32063
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
3121
4.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3238
4.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1832
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4874
89.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4908
90.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2628
48.4 IPS |
