iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3238
Single Precision Score
16309
Half Precision Score
16062
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6243
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5853
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9803
158.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66735
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65986
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7257
577.3 IPS |
|
|
Object Detection (Q)
|
91% |
6702
535.5 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16548
196.6 IPS |
|
|
Face Detection (Q)
|
100% |
15340
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47335
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47980
374.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17252
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119816
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111909
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23202
856.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23843
880.4 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5741
99.2 IPS |
