iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3089
Single Precision Score
14424
Half Precision Score
13868
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | christippett |
| Upload Date | October 23 2025 06:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
6107
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5775
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8859
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9113
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
68285
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
63966
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
6707
533.6 IPS |
|
|
Object Detection (Q)
|
91% |
5946
475.1 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12623
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
11723
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42750
329.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
43247
338.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16488
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118970
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111774
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24051
888.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22692
837.9 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2453
42.4 IPS |
