iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6232
Single Precision Score
6447
Half Precision Score
2193
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 07 2024 10:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
3448
641.3 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.9 IPS |
|
|
Image Classification (Q)
|
97% |
2605
486.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4004
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4834
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24549
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26172
30.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23620
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3543
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
3623
287.4 IPS |
|
|
Object Detection (Q)
|
92% |
2747
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
9782
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
11250
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
7707
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16605
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17770
136.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41961
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48280
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
45088
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9497
350.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10111
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7846
289.7 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1451
25.1 IPS |
