iPad Pro 11-inch (M4)
Geekbench AI Score
4711
Single Precision Score
7870
Half Precision Score
6291
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1989
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.6 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19106
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16490
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14662
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10169
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25089
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37827
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31353
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5568
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6845
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
