iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3210
Single Precision Score
15685
Half Precision Score
15342
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 05:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
6248
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5795
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9682
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10009
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
67693
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66564
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7237
575.7 IPS |
|
|
Object Detection (Q)
|
91% |
6711
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16525
196.3 IPS |
|
|
Face Detection (Q)
|
100% |
15334
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47429
365.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47434
370.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119929
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
113141
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22986
848.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23591
871.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3645
63.0 IPS |
