iPad Pro 11-inch (M4)
Geekbench AI Score
4732
Single Precision Score
36963
Half Precision Score
52294
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 03:15 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
17522
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24972
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22105
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30515
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123616
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233573
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18614
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25790
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43553
517.5 IPS |
|
|
Face Detection (Q)
|
100% |
62763
745.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98881
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172377
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25079
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235964
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298992
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50187
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86683
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6577
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16429
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18068
312.2 IPS |
