iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7448
Single Precision Score
8285
Half Precision Score
7650
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 06:28 AM |
| 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% |
3639
676.7 IPS |
|
|
Image Classification (HP)
|
100% |
3650
678.8 IPS |
|
|
Image Classification (Q)
|
96% |
3393
633.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5700
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5622
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24656
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26794
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26038
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
92% |
3369
269.0 IPS |
|
|
Face Detection (SP)
|
100% |
10345
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
11970
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
10030
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16790
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18214
140.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
16473
128.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42075
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49377
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47817
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9896
365.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10324
381.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8783
324.3 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1581
27.3 IPS |
