iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5118
Single Precision Score
5928
Half Precision Score
5568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (Q)
|
96% |
1973
368.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3987
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4218
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4070
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16868
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18781
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18351
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2786
221.0 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2521
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8410
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
7073
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12248
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14008
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12973
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28566
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34854
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34008
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6374
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6177
228.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1003
17.3 IPS |
