ASRock X670E PG Lightning
Geekbench ML Score
17430
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Athanasius |
| Upload Date | August 15 2024 06:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E PG Lightning |
| Motherboard | ASRock X670E PG Lightning |
| 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 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8308
1.55 KIPS |
|
|
Image Classification (F16)
|
100% |
8762
1.64 KIPS |
|
|
Image Classification (I8)
|
100% |
5687
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14471
241.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13700
228.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
10580
176.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
125893
152.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
126268
152.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
98385
119.1 IPS |
|
|
Object Detection (F32)
|
100% |
6577
491.0 IPS |
|
|
Object Detection (F16)
|
100% |
6566
490.2 IPS |
|
|
Object Detection (I8)
|
56% |
5174
386.3 IPS |
|
|
Face Detection (F32)
|
100% |
27167
323.0 IPS |
|
|
Face Detection (F16)
|
100% |
28280
336.3 IPS |
|
|
Face Detection (I8)
|
89% |
18640
221.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
54955
426.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
51167
396.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
31729
246.1 IPS |
|
|
Style Transfer (F32)
|
100% |
239353
314.8 IPS |
|
|
Style Transfer (F16)
|
100% |
226664
298.2 IPS |
|
|
Style Transfer (I8)
|
98% |
164705
216.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33380
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33368
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18787
670.9 IPS |
|
|
Text Classification (F32)
|
100% |
2494
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2482
3.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1293
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
4220
77.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1696
31.2 IPS |
