iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3094
Single Precision Score
5438
Half Precision Score
4453
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 02:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14107
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12155
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2413
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5426
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10358
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16505
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26235
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21841
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4274
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4279
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4716
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4715
81.5 IPS |
