iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3193
Single Precision Score
4797
Half Precision Score
3978
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 19 2024 02:43 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.5 IPS |
|
|
Image Classification (HP)
|
100% |
1869
347.6 IPS |
|
|
Image Classification (Q)
|
99% |
1875
349.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1284
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6132
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14413
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12326
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2273
181.0 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2882
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5383
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8634
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4410
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17400
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27064
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27024
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4827
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3555
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3513
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4513
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
