iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3079
Single Precision Score
5489
Half Precision Score
4466
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2236
415.9 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2504
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14095
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12145
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2414
192.2 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10336
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7371
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16472
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26296
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21879
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3534
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4334
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4327
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4755
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
