iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7518
Single Precision Score
8485
Half Precision Score
7844
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:01 PM |
| Views | 1 |
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 | iPad14,3 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
96% |
3442
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5777
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5957
96.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5709
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24752
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26832
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26138
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3600
285.6 IPS |
|
|
Object Detection (HP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (Q)
|
92% |
3477
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
10434
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
12245
145.5 IPS |
|
|
Face Detection (Q)
|
100% |
10130
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16925
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18412
141.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16897
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42690
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49320
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
48058
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9952
367.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10633
392.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8972
331.3 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1683
29.1 IPS |
