iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6956
Single Precision Score
7806
Half Precision Score
6852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 03:08 AM |
| Views | 3 |
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% |
3643
677.5 IPS |
|
|
Image Classification (HP)
|
100% |
3613
672.0 IPS |
|
|
Image Classification (Q)
|
97% |
3015
562.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4066
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5092
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24682
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26291
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24485
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
91% |
3042
243.0 IPS |
|
|
Face Detection (SP)
|
100% |
10391
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
11988
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
8363
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16697
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17819
137.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
14970
117.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43210
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48571
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45416
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9789
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10106
373.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7955
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3622
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3597
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
