iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6227
Single Precision Score
6417
Half Precision Score
5691
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Syl-13 |
| Upload Date | August 16 2024 11:55 PM |
| Views | 5 |
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% |
3450
641.5 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.4 IPS |
|
|
Image Classification (Q)
|
99% |
3061
570.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4786
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24515
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26126
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23402
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3542
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
3565
282.8 IPS |
|
|
Object Detection (Q)
|
92% |
2726
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
9814
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
11242
133.6 IPS |
|
|
Face Detection (Q)
|
100% |
7673
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16570
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17628
135.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
17407
134.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42205
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48217
62.0 IPS |
|
|
Style Transfer (Q)
|
100% |
48047
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9448
348.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10076
372.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7633
282.8 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
981
17.0 IPS |
