iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3215
Single Precision Score
5406
Half Precision Score
4426
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 03:40 AM |
| Views | 4 |
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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2548
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14252
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12215
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5467
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3191
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10430
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7381
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17011
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26987
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22342
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3513
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4547
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.1 IPS |
