ASUS System Product Name
Geekbench ML Score
2597
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 12 2024 09:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 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 | 187.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1750
327.5 IPS |
|
|
Image Classification (F16)
|
100% |
1732
324.0 IPS |
|
|
Image Classification (I8)
|
99% |
1603
299.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3148
52.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3052
51.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1537
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3981
4.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
3960
4.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
6278
7.60 IPS |
|
|
Object Detection (F32)
|
100% |
2056
153.5 IPS |
|
|
Object Detection (F16)
|
100% |
2037
152.1 IPS |
|
|
Object Detection (I8)
|
65% |
2082
155.5 IPS |
|
|
Face Detection (F32)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (F16)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (I8)
|
87% |
3244
38.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3110
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3059
23.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3537
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3796
4.99 IPS |
|
|
Style Transfer (F16)
|
100% |
3915
5.15 IPS |
|
|
Style Transfer (I8)
|
98% |
8693
11.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1913
68.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1897
67.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2778
99.2 IPS |
|
|
Text Classification (F32)
|
100% |
1676
2.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1718
2.47 KIPS |
|
|
Text Classification (I8)
|
92% |
909
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
3401
62.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3394
62.5 IPS |
|
|
Machine Translation (I8)
|
62% |
1125
20.7 IPS |
