ASRock X670E Pro RS
Geekbench ML Score
2537
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 07:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASRock X670E Pro RS |
| Motherboard | ASRock X670E Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 61.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1675
313.5 IPS |
|
|
Image Classification (F16)
|
100% |
1538
287.9 IPS |
|
|
Image Classification (I8)
|
99% |
1514
283.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2595
43.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2808
46.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1363
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4053
4.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
4622
5.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
6069
7.35 IPS |
|
|
Object Detection (F32)
|
100% |
1989
148.5 IPS |
|
|
Object Detection (F16)
|
100% |
1769
132.1 IPS |
|
|
Object Detection (I8)
|
65% |
2003
149.5 IPS |
|
|
Face Detection (F32)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (F16)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (I8)
|
87% |
2717
32.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3055
23.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3120
24.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3216
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4624
6.08 IPS |
|
|
Style Transfer (F16)
|
100% |
4859
6.39 IPS |
|
|
Style Transfer (I8)
|
98% |
8282
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1890
67.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1866
66.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2646
94.5 IPS |
|
|
Text Classification (F32)
|
100% |
1291
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1542
2.22 KIPS |
|
|
Text Classification (I8)
|
92% |
785
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
4822
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3537
65.1 IPS |
|
|
Machine Translation (I8)
|
62% |
1169
21.5 IPS |
