TUXEDO TUXEDO InfinityBook Pro Gen7 (MK1)
Geekbench AI Score
958
Single Precision Score
970
Half Precision Score
609
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | tuxini |
| Upload Date | December 31 2025 11:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | TUXEDO OS |
| Model | TUXEDO TUXEDO InfinityBook Pro Gen7 (MK1) |
| Motherboard | NB02 PHxARX1_PHxAQF1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (HP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
577
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1194
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
85% |
384
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
1073
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1063
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1229
9.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
842
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1958
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2018
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2670
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.2 IPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
186
250.0 IPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
58% |
288
6.75 IPS |
