iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6987
Single Precision Score
7833
Half Precision Score
6808
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3644
677.6 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
97% |
2921
545.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5070
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24677
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26298
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24497
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
3692
292.8 IPS |
|
|
Object Detection (Q)
|
91% |
3053
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
10338
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
11926
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
8301
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16748
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17833
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14867
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42839
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48595
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45441
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9777
361.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10154
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7949
293.5 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1206
20.8 IPS |
