iPad Pro 11-inch (M4) Presha_p iPad Pro 11-inch (M4)
Geekbench AI Score
8819
Single Precision Score
10613
Half Precision Score
9519
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pressure_P |
| Upload Date | January 03 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4414
820.9 IPS |
|
|
Image Classification (HP)
|
100% |
4802
893.1 IPS |
|
|
Image Classification (Q)
|
97% |
4112
767.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4932
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6730
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7155
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27966
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30040
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28628
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4698
372.6 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
91% |
4426
353.6 IPS |
|
|
Face Detection (SP)
|
100% |
12894
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
16347
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
11990
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20258
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22475
173.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19376
151.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56384
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67385
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63080
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11552
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12698
468.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10284
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2093
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2019
34.9 IPS |
