iPad Pro 11-inch (M4)
Geekbench AI Score
4831
Single Precision Score
7935
Half Precision Score
6355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 05:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.0 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3262
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3580
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9945
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19452
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16616
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7704
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4406
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14522
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10165
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38184
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31488
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7258
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5718
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7071
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
