iPad Pro 11-inch (M4)
Geekbench AI Score
4720
Single Precision Score
36294
Half Precision Score
51344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17712
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24698
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21924
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30094
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123433
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232671
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
18318
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25549
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42322
502.9 IPS |
|
|
Face Detection (Q)
|
100% |
62784
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98365
757.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166523
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25191
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232863
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297235
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48578
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83012
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16275
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17893
309.2 IPS |
