iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3209
Single Precision Score
5459
Half Precision Score
4449
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 08:14 PM |
| Views | 6 |
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 | iPad13,8 |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.4 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14181
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12216
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5240
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
3085
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5604
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10468
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7301
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16890
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26848
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22277
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4253
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2569
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4729
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4721
81.6 IPS |
