iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3081
Single Precision Score
14137
Half Precision Score
13795
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
5833
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5487
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8787
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9091
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67200
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64448
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
6285
499.9 IPS |
|
|
Object Detection (Q)
|
91% |
5962
476.4 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
12289
146.0 IPS |
|
|
Face Detection (Q)
|
100% |
11683
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42198
325.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
42855
334.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119265
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111635
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22810
842.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22694
838.0 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2462
42.5 IPS |
