iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7429
Single Precision Score
8315
Half Precision Score
7666
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:10 PM |
| Views | 3 |
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% |
3646
678.0 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.2 IPS |
|
|
Image Classification (Q)
|
96% |
3390
633.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5700
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5876
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5603
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24648
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26706
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25975
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3657
290.1 IPS |
|
|
Object Detection (HP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (Q)
|
92% |
3337
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
10350
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
9984
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16801
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18116
139.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16439
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42961
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49319
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47774
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9811
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10388
383.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8857
327.1 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1636
28.3 IPS |
