iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3250
Single Precision Score
5507
Half Precision Score
4480
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | August 26 2025 12:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.8 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14216
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12209
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3148
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10416
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7347
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26914
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22301
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4325
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4778
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4784
82.7 IPS |
