iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3084
Single Precision Score
5417
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:50 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% |
1306
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2226
414.0 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14126
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12130
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5403
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3141
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5427
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10370
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16488
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26261
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21843
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4619
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4658
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4657
80.5 IPS |
