iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3232
Single Precision Score
14236
Half Precision Score
13804
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | August 07 2025 01:43 AM |
| Views | 34 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
6141
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5873
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8796
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9079
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6471
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
66767
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
63688
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
6184
491.9 IPS |
|
|
Object Detection (Q)
|
91% |
5824
465.3 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
12949
153.9 IPS |
|
|
Face Detection (Q)
|
100% |
11922
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42413
326.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
42203
329.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16955
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118028
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111081
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22616
835.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22548
832.6 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
