iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7532
Single Precision Score
8384
Half Precision Score
7724
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | fatcatmac |
| Upload Date | March 26 2026 03:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3723
692.3 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
96% |
3369
629.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5781
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5680
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24727
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26826
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26159
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3600
285.5 IPS |
|
|
Object Detection (HP)
|
100% |
3571
283.3 IPS |
|
|
Object Detection (Q)
|
92% |
3487
278.3 IPS |
|
|
Face Detection (SP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
10236
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17126
131.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18207
140.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
16663
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43228
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49194
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47670
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9778
361.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10253
378.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8863
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3787
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1588
27.4 IPS |
