iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3225
Single Precision Score
15567
Half Precision Score
15287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | December 27 2024 08:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6244
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5887
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9719
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10020
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68805
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66241
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7230
575.1 IPS |
|
|
Object Detection (Q)
|
91% |
6676
533.4 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16475
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15155
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47327
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47620
372.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17131
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120046
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114966
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23163
855.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23698
875.1 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3418
59.1 IPS |
