iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5060
Single Precision Score
5623
Half Precision Score
5411
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2376
441.9 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (Q)
|
96% |
1985
370.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4290
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4116
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17356
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19421
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18832
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
2371
188.1 IPS |
|
|
Object Detection (Q)
|
92% |
2397
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
6977
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11980
92.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12525
96.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12813
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27917
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26133
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23663
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5954
219.9 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4321
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.5 IPS |
