iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3220
Single Precision Score
16190
Half Precision Score
15814
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 05:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
6334
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5823
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9729
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9976
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66218
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65665
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7084
563.5 IPS |
|
|
Object Detection (Q)
|
91% |
6494
518.9 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16554
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
15298
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5779
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46366
357.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46608
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17134
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119776
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111147
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23005
849.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23400
864.1 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5637
97.4 IPS |
