iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3207
Single Precision Score
5395
Half Precision Score
4427
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 07:07 PM |
| Views | 2 |
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 | iPad13,4 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
96% |
1587
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2550
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14246
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5456
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7371
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16989
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26964
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22352
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4462
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4464
77.1 IPS |
