iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3170
Single Precision Score
5638
Half Precision Score
4591
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 28 2025 08:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2366
439.9 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6250
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
13993
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12336
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2700
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3247
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10788
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7565
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17881
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27386
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22541
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3533
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3682
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5374
92.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5368
92.8 IPS |
