iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3090
Single Precision Score
5450
Half Precision Score
4455
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2231
414.8 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14138
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12155
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5468
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10334
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16501
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26276
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21880
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3473
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3513
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4681
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4653
80.4 IPS |
