iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7525
Single Precision Score
8283
Half Precision Score
7647
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tylerstartz |
| Upload Date | April 11 2025 02:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
3720
691.9 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
3439
642.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5732
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5885
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5657
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24670
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26333
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25514
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (HP)
|
100% |
3707
294.1 IPS |
|
|
Object Detection (Q)
|
92% |
3364
268.5 IPS |
|
|
Face Detection (SP)
|
100% |
10400
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
12089
143.6 IPS |
|
|
Face Detection (Q)
|
100% |
10049
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16918
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17978
138.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16502
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43253
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48716
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47166
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9825
362.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10212
377.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8769
323.8 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1580
27.3 IPS |
