mktx-ONNX-cpu N/A
Geekbench AI Score
2026
Single Precision Score
622
Half Precision Score
3458
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
94% |
2918
545.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
2214
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
6772
8.01 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
58% |
2067
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (Q)
|
96% |
7732
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3664
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
866
6.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
6778
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7828
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6130
7.88 IPS |
|
|
Style Transfer (Q)
|
87% |
11641
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2425
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
506
674.7 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
68% |
1804
34.9 IPS |
