mktx-TensorFlowLite-cpu N/A
Geekbench AI Score
1773
Single Precision Score
1766
Half Precision Score
977
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:14 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
942
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (Q)
|
99% |
541
100.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1928
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
1134
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (Q)
|
85% |
606
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
1673
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2249
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2199
16.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1331
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3012
3.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3002
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4139
5.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
412
553.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (Q)
|
58% |
479
11.2 IPS |
