iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2084
Single Precision Score
3573
Half Precision Score
2884
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:13 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 | iPad13,10 |
| Motherboard | J523AP |
| 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% |
851
158.2 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1615
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
9165
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7798
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
97% |
1566
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
2053
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3532
27.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6584
50.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4616
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10949
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16947
21.8 IPS |
|
|
Style Transfer (Q)
|
96% |
13967
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2249
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2770
3.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2795
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3406
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3426
59.2 IPS |
