iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5406
Single Precision Score
6205
Half Precision Score
5778
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2230
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.7 IPS |
|
|
Image Classification (Q)
|
94% |
2036
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4000
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4105
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16954
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18849
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18357
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
91% |
2536
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
7114
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
9015
107.1 IPS |
|
|
Face Detection (Q)
|
100% |
8076
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12403
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13919
107.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13070
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29118
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34215
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34279
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6412
236.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5906
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1197
20.7 IPS |
