iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6893
Single Precision Score
7793
Half Precision Score
5765
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kister2099 |
| Upload Date | August 23 2024 02:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
3611
671.6 IPS |
|
|
Image Classification (HP)
|
100% |
3565
663.1 IPS |
|
|
Image Classification (Q)
|
99% |
3235
603.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3888
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4957
80.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4863
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24352
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26193
30.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23605
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3631
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
91% |
2830
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
10186
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
11719
139.2 IPS |
|
|
Face Detection (Q)
|
100% |
8052
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16432
126.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17728
136.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
2783
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42069
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48419
62.2 IPS |
|
|
Style Transfer (Q)
|
100% |
48212
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9709
358.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9983
368.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7471
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1326
22.9 IPS |
