iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5155
Single Precision Score
5918
Half Precision Score
5508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2221
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1903
355.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4003
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4215
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4045
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16734
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18977
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18425
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (Q)
|
92% |
2453
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8486
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7044
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12141
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13840
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12690
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29031
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35122
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34237
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6344
234.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7336
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6133
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
