iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3097
Single Precision Score
5429
Half Precision Score
4443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14053
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12085
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10396
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7339
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16465
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26136
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21808
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4793
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4766
82.4 IPS |
