iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3230
Single Precision Score
5310
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 09:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (Q)
|
96% |
1558
291.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13873
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11990
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2447
194.8 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11054
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7678
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17249
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26285
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22019
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3356
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3909
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4284
74.0 IPS |
