iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5183
Single Precision Score
5935
Half Precision Score
5460
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | choixyz |
| Upload Date | January 03 2026 07:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2192
407.6 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (Q)
|
94% |
1822
340.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4013
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4284
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4097
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16761
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18999
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18237
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
90% |
2448
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
7069
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
8853
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
7276
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12218
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13849
106.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12496
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29326
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35350
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33557
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6262
231.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5754
212.5 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
