iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3210
Single Precision Score
5384
Half Precision Score
4419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 07:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2548
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14231
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12216
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5463
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5618
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10445
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16995
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26972
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22349
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4492
77.6 IPS |
