iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5240
Single Precision Score
6237
Half Precision Score
5825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
2597
482.9 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4022
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4306
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4160
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17309
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19484
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18979
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (Q)
|
92% |
2551
203.6 IPS |
|
|
Face Detection (SP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8648
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
7112
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12664
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14196
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12847
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29385
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35588
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34746
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6504
240.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7278
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6059
223.7 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4300
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1187
20.5 IPS |
