ASUS System Product Name
Geekbench ML Score
2769
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 07 2024 09:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 23.10 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H770-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2263
423.5 IPS |
|
|
Image Classification (F16)
|
100% |
2287
427.9 IPS |
|
|
Image Classification (I8)
|
99% |
1290
241.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3714
62.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3698
61.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1596
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3590
4.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
3576
4.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
5347
6.47 IPS |
|
|
Object Detection (F32)
|
100% |
2839
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
2839
211.9 IPS |
|
|
Object Detection (I8)
|
65% |
1999
149.3 IPS |
|
|
Face Detection (F32)
|
100% |
4254
50.6 IPS |
|
|
Face Detection (F16)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (I8)
|
87% |
3532
42.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3439
26.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3424
26.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3559
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3492
4.59 IPS |
|
|
Style Transfer (F16)
|
100% |
3503
4.61 IPS |
|
|
Style Transfer (I8)
|
98% |
8150
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2906
103.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3076
109.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2363
84.4 IPS |
|
|
Text Classification (F32)
|
100% |
1582
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1397
2.01 KIPS |
|
|
Text Classification (I8)
|
92% |
565
812.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3851
70.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3937
72.4 IPS |
|
|
Machine Translation (I8)
|
62% |
1089
20.0 IPS |
