iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3081
Single Precision Score
5421
Half Precision Score
4437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.0 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14098
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12103
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
2402
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10368
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7343
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26187
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21828
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3442
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4323
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4185
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4686
81.0 IPS |
