iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3214
Single Precision Score
5380
Half Precision Score
4419
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 03:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.2 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2540
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14259
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12221
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10457
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7373
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17006
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26968
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22349
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4466
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4457
77.0 IPS |
