iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3208
Single Precision Score
15513
Half Precision Score
15146
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TeckFire |
| Upload Date | March 17 2025 07:57 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
5996
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5399
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9706
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10049
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68623
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66802
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7145
568.4 IPS |
|
|
Object Detection (Q)
|
91% |
6568
524.8 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16364
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
15296
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46948
361.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46982
367.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119844
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114859
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22692
837.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23083
852.4 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3811
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3676
63.5 IPS |
