iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3238
Single Precision Score
15559
Half Precision Score
15276
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:07 PM |
| Views | 1 |
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 | iPad13,4 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5863
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9753
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10077
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67312
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65816
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7257
577.3 IPS |
|
|
Object Detection (Q)
|
91% |
6738
538.4 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16490
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
15046
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47231
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48206
376.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17186
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120127
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113603
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23352
862.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23858
881.0 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3418
59.1 IPS |
