iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3209
Single Precision Score
15568
Half Precision Score
15337
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 15 2024 01:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
6204
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6063
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9742
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10121
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
67103
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65675
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
7208
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
6693
534.8 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16545
196.6 IPS |
|
|
Face Detection (Q)
|
100% |
15377
182.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47284
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47571
371.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17020
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120087
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113277
146.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23182
856.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23743
876.7 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
