iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3089
Single Precision Score
14524
Half Precision Score
13845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | November 19 2025 09:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
5786
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5500
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8820
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9102
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67551
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65013
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
6376
507.2 IPS |
|
|
Object Detection (Q)
|
91% |
5985
478.2 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
13672
162.5 IPS |
|
|
Face Detection (Q)
|
100% |
11473
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42056
324.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
41515
324.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16469
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119214
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112118
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24087
889.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22530
831.9 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4209
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2625
45.4 IPS |
