iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5135
Single Precision Score
5831
Half Precision Score
5451
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (Q)
|
96% |
1895
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16814
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18257
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17833
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2452
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6814
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
8390
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
6941
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12253
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13710
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12739
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28583
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33694
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33440
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6420
237.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6011
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
