iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4843
Single Precision Score
5786
Half Precision Score
5096
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | waleriewitch |
| Upload Date | March 25 2025 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2165
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
2236
415.9 IPS |
|
|
Image Classification (Q)
|
97% |
1890
352.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3779
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16614
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18443
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17246
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (Q)
|
91% |
2318
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
6493
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6049
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12173
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13855
106.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11507
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28678
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34641
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31170
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6358
234.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5394
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
900
15.6 IPS |
