iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3067
Single Precision Score
5374
Half Precision Score
4406
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1556
290.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14020
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12073
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2385
189.8 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5340
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3122
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5429
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7331
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16394
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26091
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21717
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4622
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4717
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4725
81.7 IPS |
