innotek GmbH VirtualBox
Geekbench AI Score
400
Single Precision Score
419
Half Precision Score
143
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | MKAlroouqi |
| Upload Date | April 09 2025 03:57 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 1 Core |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
86
16.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
424
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
166
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
85% |
87
6.97 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
618
7.35 IPS |
|
|
Face Detection (Q)
|
97% |
240
2.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
63% |
180
1.69 IPS |
|
|
Style Transfer (SP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
447
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
101
3.75 IPS |
|
|
Text Classification (SP)
|
100% |
338
451.3 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.9 IPS |
|
|
Text Classification (Q)
|
92% |
112
149.9 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
58% |
124
2.90 IPS |
