iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2984
Single Precision Score
5382
Half Precision Score
4371
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
11877
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9864
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10383
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7378
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15812
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26181
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21837
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3486
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4378
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4339
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4673
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4675
80.8 IPS |
