iPad Pro 13-inch (M4)
Geekbench AI Score
4741
Single Precision Score
36508
Half Precision Score
51884
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 09:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
17383
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24777
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22138
358.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30725
498.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10118
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123725
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233927
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
18213
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25720
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43211
513.4 IPS |
|
|
Face Detection (Q)
|
100% |
63054
749.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98536
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167279
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25169
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236035
303.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296965
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5895
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48727
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83509
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6475
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16606
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18224
314.9 IPS |
