iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3088
Single Precision Score
5433
Half Precision Score
4445
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 09:54 PM |
| Views | 1 |
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 | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1572
293.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14093
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12129
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5382
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10399
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16443
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26249
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21841
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4283
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4751
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4746
82.0 IPS |
