iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5114
Single Precision Score
5891
Half Precision Score
5515
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 03:51 AM |
| Views | 6 |
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% |
1961
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4003
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4229
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16887
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18997
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18189
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2416
192.8 IPS |
|
|
Face Detection (SP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8414
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12364
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13954
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12825
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28996
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35342
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34195
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7373
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6153
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
