iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3095
Single Precision Score
5430
Half Precision Score
4446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2498
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14108
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12139
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2405
191.4 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3144
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10396
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7356
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26217
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21792
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4286
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4711
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
