iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5083
Single Precision Score
5855
Half Precision Score
5492
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 22 2025 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3998
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4077
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17080
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18789
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18053
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2416
192.9 IPS |
|
|
Face Detection (SP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8353
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
7033
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12247
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13847
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12741
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28581
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34289
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33978
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6353
234.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6891
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
