iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5238
Single Precision Score
6058
Half Precision Score
5577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | christippett |
| Upload Date | October 23 2025 06:14 AM |
| Views | 7 |
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 | iPad13,8 |
| Motherboard | J522AP |
| 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% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4100
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17081
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19057
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18262
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (Q)
|
92% |
2465
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8454
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
7089
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12400
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13973
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12724
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29233
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35739
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33193
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6558
242.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7153
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5945
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1030
17.8 IPS |
