iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3217
Single Precision Score
14270
Half Precision Score
13796
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 06:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
5868
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5823
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8769
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9063
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
67097
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64441
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
6813
542.0 IPS |
|
|
Object Detection (Q)
|
91% |
5965
476.6 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
12288
146.0 IPS |
|
|
Face Detection (Q)
|
100% |
11485
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44430
342.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
41368
323.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118954
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111313
143.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22952
847.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22952
847.5 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2574
44.5 IPS |
