iPad Pro 11-inch (M4)
Geekbench AI Score
4715
Single Precision Score
7880
Half Precision Score
6284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 04:10 AM |
| Views | 3 |
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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.4 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3327
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3638
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16468
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7738
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14647
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10171
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37929
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31323
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5675
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6820
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
