iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3210
Single Precision Score
5407
Half Precision Score
4426
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 04:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
2224
413.6 IPS |
|
|
Image Classification (Q)
|
96% |
1582
295.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14251
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12224
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10441
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16960
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26942
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22325
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4550
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4561
78.8 IPS |
