iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3451
Single Precision Score
22912
Half Precision Score
25070
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aayush08 |
| Upload Date | October 16 2024 11:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14077
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15507
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9781
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10946
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
102258
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104693
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
15041
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17000
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33048
392.7 IPS |
|
|
Face Detection (Q)
|
100% |
41875
497.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84910
654.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104335
815.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18863
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201841
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
187137
241.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39035
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46646
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2366
40.9 IPS |
