iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5083
Single Precision Score
5892
Half Precision Score
5550
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 04:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3992
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4070
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16975
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18823
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18170
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2448
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7239
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12245
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14048
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12797
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28557
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35196
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33933
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6340
234.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7365
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6116
225.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
