iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3212
Single Precision Score
15757
Half Precision Score
15393
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 01 2025 05:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5818
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10012
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69271
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66653
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7259
577.5 IPS |
|
|
Object Detection (Q)
|
91% |
6712
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16459
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15174
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47086
362.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46924
366.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16940
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120387
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116064
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23145
854.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23769
877.7 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4073
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3584
61.9 IPS |
