iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5101
Single Precision Score
5936
Half Precision Score
5523
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | November 04 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
96% |
1938
362.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4024
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16995
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18134
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2450
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8544
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7091
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12290
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13914
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12750
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28761
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34348
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34254
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6336
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6141
226.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
