iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7381
Single Precision Score
8229
Half Precision Score
7661
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 01:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3624
674.0 IPS |
|
|
Image Classification (HP)
|
100% |
3635
676.0 IPS |
|
|
Image Classification (Q)
|
96% |
3384
631.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5709
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5596
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24527
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26475
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26061
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.4 IPS |
|
|
Object Detection (HP)
|
100% |
3657
290.1 IPS |
|
|
Object Detection (Q)
|
92% |
3338
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
10353
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
12159
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
10048
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16742
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17923
138.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16462
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42281
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49094
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47841
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9997
369.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10281
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8821
325.7 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1590
27.5 IPS |
