iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3076
Single Precision Score
5385
Half Precision Score
4424
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | choixyz |
| Upload Date | January 03 2026 07:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14127
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12141
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10377
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7371
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16468
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26219
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21821
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4656
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4633
80.1 IPS |
