iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3210
Single Precision Score
15706
Half Precision Score
15397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
6283
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5876
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9667
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9991
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68703
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66312
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7236
575.6 IPS |
|
|
Object Detection (Q)
|
91% |
6709
536.1 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16470
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
15245
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47299
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47582
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16966
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119778
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114878
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22928
846.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23736
876.5 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3657
63.2 IPS |
