iPad Pro 11-inch (M4)
Geekbench AI Score
8701
Single Precision Score
10557
Half Precision Score
9266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:12 PM |
| Views | 4 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4375
813.6 IPS |
|
|
Image Classification (HP)
|
100% |
4792
891.2 IPS |
|
|
Image Classification (Q)
|
97% |
4181
780.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4793
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6727
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7108
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27478
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29765
34.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
28409
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
5150
408.5 IPS |
|
|
Object Detection (Q)
|
91% |
4435
354.4 IPS |
|
|
Face Detection (SP)
|
100% |
12636
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16231
192.9 IPS |
|
|
Face Detection (Q)
|
100% |
11880
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20122
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22259
171.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19259
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55616
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66323
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62430
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11448
422.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12608
465.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10259
378.8 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
