iPad Pro 11-inch (M4)
Geekbench AI Score
9602
Single Precision Score
11479
Half Precision Score
10546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | April 18 2025 12:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4524
841.4 IPS |
|
|
Image Classification (HP)
|
100% |
4920
915.0 IPS |
|
|
Image Classification (Q)
|
96% |
4632
865.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7195
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8012
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7740
125.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27773
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29973
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29156
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4610
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
5226
414.5 IPS |
|
|
Object Detection (Q)
|
92% |
4766
380.4 IPS |
|
|
Face Detection (SP)
|
100% |
12842
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16722
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
13442
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20652
159.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22768
175.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20947
163.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57183
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66891
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64557
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12922
477.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11207
413.8 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3027
52.3 IPS |
