Darksider ASUS System Product Name
Geekbench ML Score
2770
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | Keith_Myers |
| Upload Date | August 15 2024 06:09 PM |
| Views | 2 |
| Notes | banff |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 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 | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 30.98 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1806
338.0 IPS |
|
|
Image Classification (F16)
|
100% |
1805
337.8 IPS |
|
|
Image Classification (I8)
|
99% |
1632
305.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3263
54.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3293
55.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1568
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4707
5.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
4753
5.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
6544
7.92 IPS |
|
|
Object Detection (F32)
|
100% |
2111
157.6 IPS |
|
|
Object Detection (F16)
|
100% |
2123
158.5 IPS |
|
|
Object Detection (I8)
|
65% |
2160
161.3 IPS |
|
|
Face Detection (F32)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (F16)
|
100% |
3209
38.2 IPS |
|
|
Face Detection (I8)
|
87% |
3240
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3425
26.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3202
24.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3546
27.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4595
6.04 IPS |
|
|
Style Transfer (F16)
|
100% |
4572
6.01 IPS |
|
|
Style Transfer (I8)
|
98% |
9170
12.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1982
70.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1975
70.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2747
98.1 IPS |
|
|
Text Classification (F32)
|
100% |
1781
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1787
2.57 KIPS |
|
|
Text Classification (I8)
|
92% |
955
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
3848
70.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3801
70.0 IPS |
|
|
Machine Translation (I8)
|
62% |
1256
23.1 IPS |
