iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3446
Single Precision Score
6014
Half Precision Score
4870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | May 12 2025 08:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.1 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2736
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6794
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2796
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5977
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5598
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10971
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7761
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29167
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24296
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3755
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6365
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6322
109.3 IPS |
