iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3084
Single Precision Score
14419
Half Precision Score
14097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
5957
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5617
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8941
144.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9081
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67148
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64655
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
6595
524.6 IPS |
|
|
Object Detection (Q)
|
91% |
6122
489.2 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12813
152.2 IPS |
|
|
Face Detection (Q)
|
100% |
12022
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5445
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42375
326.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42436
331.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16469
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119073
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112052
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23369
862.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23251
858.5 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4232
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2576
44.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2755
47.6 IPS |
