iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2620
Single Precision Score
4814
Half Precision Score
3811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 08 2025 03:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14187
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12137
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2098
167.0 IPS |
|
|
Object Detection (Q)
|
94% |
1517
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2137
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2362
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7270
56.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6754
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15896
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26502
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22057
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3476
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3012
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3856
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3526
60.9 IPS |
