iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3090
Single Precision Score
14321
Half Precision Score
14039
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OstinMatus |
| Upload Date | November 29 2025 06:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
5814
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5501
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8914
144.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9151
148.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67949
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64852
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
6565
522.2 IPS |
|
|
Object Detection (Q)
|
91% |
6266
500.7 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12588
149.6 IPS |
|
|
Face Detection (Q)
|
100% |
11812
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42325
326.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
42182
329.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16462
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119475
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
112532
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23005
849.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23948
884.3 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4349
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4292
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2524
43.6 IPS |
