iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7515
Single Precision Score
8271
Half Precision Score
7669
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 06:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
3647
678.2 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.2 IPS |
|
|
Image Classification (Q)
|
96% |
3398
634.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5886
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5622
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24691
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26817
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26000
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (Q)
|
92% |
3338
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
10359
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
11992
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
10017
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16859
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18134
139.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
16524
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42796
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49279
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47740
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9787
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10302
380.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8848
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3691
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |
