iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3197
Single Precision Score
5366
Half Precision Score
4400
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 18 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (Q)
|
96% |
1534
286.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14254
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12218
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2365
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1758
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10251
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7298
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16961
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26912
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22317
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4509
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4498
77.7 IPS |
