iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3026
Single Precision Score
5088
Half Precision Score
3893
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 11:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (Q)
|
96% |
1230
229.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1925
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14078
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11356
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2386
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
1451
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5636
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10360
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7303
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16857
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26733
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22102
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2383
88.0 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4511
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4478
77.4 IPS |
