iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5071
Single Precision Score
5949
Half Precision Score
5559
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (Q)
|
96% |
2068
386.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4272
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4070
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15839
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18036
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.2 IPS |
|
|
Object Detection (Q)
|
92% |
2442
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8348
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
7289
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11957
92.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14015
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12760
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28874
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35453
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34000
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6241
230.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7139
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6034
222.8 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
