ASRock B650E PG Riptide WiFi
Geekbench ML Score
25794
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG Riptide WiFi |
| Motherboard | ASRock B650E PG Riptide WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 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 | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12286
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12378
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
9695
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19185
320.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
18580
310.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
16386
273.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
212504
257.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
210683
255.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
174771
211.6 IPS |
|
|
Object Detection (F32)
|
100% |
7080
528.6 IPS |
|
|
Object Detection (F16)
|
100% |
7075
528.2 IPS |
|
|
Object Detection (I8)
|
56% |
6492
484.6 IPS |
|
|
Face Detection (F32)
|
100% |
37153
441.8 IPS |
|
|
Face Detection (F16)
|
100% |
36595
435.1 IPS |
|
|
Face Detection (I8)
|
89% |
28004
333.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
72442
561.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
71013
550.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
54752
424.6 IPS |
|
|
Style Transfer (F32)
|
100% |
368602
484.9 IPS |
|
|
Style Transfer (F16)
|
100% |
369617
486.2 IPS |
|
|
Style Transfer (I8)
|
98% |
289129
380.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43045
1.54 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44359
1.58 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32081
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
3789
5.45 KIPS |
|
|
Text Classification (F16)
|
100% |
3810
5.48 KIPS |
|
|
Text Classification (I8)
|
98% |
2624
3.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
5444
100.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5467
100.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3469
63.8 IPS |
