iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3091
Single Precision Score
5421
Half Precision Score
4452
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:24 PM |
| Views | 1 |
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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14058
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12094
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5386
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5431
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10387
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7349
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16469
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26179
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21784
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3481
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4733
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4764
82.3 IPS |
