TUXEDO TUXEDO InfinityBook Pro Gen7 (MK1)
Geekbench AI Score
38
Single Precision Score
37
Half Precision Score
31
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| User | tuxini |
| Upload Date | December 31 2025 02:02 PM |
| Views | 2 |
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% |
22
4.01 IPS |
|
|
Image Classification (HP)
|
100% |
22
4.01 IPS |
|
|
Image Classification (Q)
|
97% |
20
3.67 IPS |
|
|
Image Segmentation (SP)
|
100% |
32
0.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
26
0.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
38
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
39
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
34
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
21
1.70 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.60 IPS |
|
|
Object Detection (Q)
|
87% |
18
1.42 IPS |
|
|
Face Detection (SP)
|
100% |
68
0.81 IPS |
|
|
Face Detection (HP)
|
100% |
69
0.82 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
49
0.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
48
0.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
37
0.34 IPS |
|
|
Style Transfer (SP)
|
100% |
108
0.14 IPS |
|
|
Style Transfer (HP)
|
100% |
106
0.14 IPS |
|
|
Style Transfer (Q)
|
98% |
101
0.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23
0.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23
0.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
21
0.77 IPS |
|
|
Text Classification (SP)
|
100% |
29
38.6 IPS |
|
|
Text Classification (HP)
|
100% |
28
37.7 IPS |
|
|
Text Classification (Q)
|
91% |
22
29.1 IPS |
|
|
Machine Translation (SP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (HP)
|
100% |
51
0.89 IPS |
|
|
Machine Translation (Q)
|
58% |
28
0.67 IPS |
