iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3417
Single Precision Score
5919
Half Precision Score
4806
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 07:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
96% |
1691
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6796
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15364
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13170
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7190
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18260
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29324
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24287
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3729
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6340
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6437
111.2 IPS |
