iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5241
Single Precision Score
5970
Half Precision Score
5656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 06:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4019
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4089
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18823
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18426
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6875
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7060
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12404
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13920
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12616
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28480
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34704
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34047
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6295
232.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5937
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4189
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
