iPad Pro 11-inch (M4)
Geekbench AI Score
4720
Single Precision Score
7878
Half Precision Score
6319
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mirabis |
| Upload Date | December 23 2024 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
3339
621.0 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3276
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3640
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16475
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7801
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4481
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14635
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10158
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25153
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38158
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31444
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6932
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6967
120.4 IPS |
