iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3206
Single Precision Score
15684
Half Precision Score
15411
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | vintatsh |
| Upload Date | July 09 2025 09:32 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
6200
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5868
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10077
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68761
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67128
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7215
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6668
532.8 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16437
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
15304
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47124
363.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47783
373.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16986
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120262
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114891
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23021
850.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23725
876.1 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3651
63.1 IPS |
