iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2738
Single Precision Score
14500
Half Precision Score
14123
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 11:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
6190
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5822
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8917
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9186
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67230
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64785
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
6901
549.0 IPS |
|
|
Object Detection (Q)
|
91% |
6138
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12769
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
11831
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3726
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43962
338.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
45089
352.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16462
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121249
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
113759
146.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23221
857.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23863
881.1 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2605
45.0 IPS |
