iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3094
Single Precision Score
14424
Half Precision Score
14055
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1309
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
6268
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5812
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8721
141.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9006
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
67062
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64361
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
6292
500.5 IPS |
|
|
Object Detection (Q)
|
91% |
5958
476.1 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12025
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
11090
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40945
315.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
41250
322.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16448
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118483
152.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113621
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3507
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23512
868.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23141
854.5 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4335
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4284
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2910
50.3 IPS |
