iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3094
Single Precision Score
5416
Half Precision Score
4446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesmagenst |
| Upload Date | October 31 2025 11:39 PM |
| Views | 3 |
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 | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14103
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12127
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10364
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16479
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26238
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21837
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3476
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3513
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4224
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4771
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4783
82.7 IPS |
