TUXEDO TUXEDO InfinityBook Pro Gen7 (MK1)
Geekbench AI Score
45
Single Precision Score
45
Half Precision Score
36
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| User | tuxini |
| Upload Date | December 31 2025 04:03 PM |
| Views | 9 |
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% |
24
4.41 IPS |
|
|
Image Classification (HP)
|
100% |
24
4.41 IPS |
|
|
Image Classification (Q)
|
97% |
20
3.71 IPS |
|
|
Image Segmentation (SP)
|
100% |
33
0.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
33
0.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
29
0.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
43
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
25
1.97 IPS |
|
|
Object Detection (HP)
|
100% |
25
1.97 IPS |
|
|
Object Detection (Q)
|
87% |
22
1.73 IPS |
|
|
Face Detection (SP)
|
100% |
84
1.00 IPS |
|
|
Face Detection (HP)
|
100% |
84
1.00 IPS |
|
|
Face Detection (Q)
|
97% |
70
0.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
62
0.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
63
0.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
46
0.42 IPS |
|
|
Style Transfer (SP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
119
0.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28
1.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29
1.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
25
0.91 IPS |
|
|
Text Classification (SP)
|
100% |
36
48.1 IPS |
|
|
Text Classification (HP)
|
100% |
36
48.1 IPS |
|
|
Text Classification (Q)
|
91% |
26
35.2 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.10 IPS |
|
|
Machine Translation (HP)
|
100% |
64
1.09 IPS |
|
|
Machine Translation (Q)
|
58% |
33
0.80 IPS |
