iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3305
Single Precision Score
5788
Half Precision Score
4706
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.3 IPS |
|
|
Image Classification (Q)
|
96% |
1701
317.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14648
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12731
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5741
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3376
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5423
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11120
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7555
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18025
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28173
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23454
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4871
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3584
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3663
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5579
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5578
96.4 IPS |
