iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2152
Single Precision Score
12399
Half Precision Score
12718
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | visy |
| Upload Date | August 18 2024 02:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
6319
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4222
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5753
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
67198
78.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
64331
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (HP)
|
99% |
7191
572.0 IPS |
|
|
Object Detection (Q)
|
93% |
6531
521.1 IPS |
|
|
Face Detection (SP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
12596
149.7 IPS |
|
|
Face Detection (Q)
|
100% |
13211
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43468
334.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
47076
364.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10349
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118000
151.7 IPS |
|
|
Style Transfer (Q)
|
100% |
123550
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17875
660.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20597
763.1 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2632
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2268
39.2 IPS |
