iPad Pro 11-inch (M4)
Geekbench AI Score
4703
Single Precision Score
36591
Half Precision Score
51537
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 08:23 AM |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
17221
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23545
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22176
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30471
494.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123648
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231837
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18804
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25966
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43324
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
63545
755.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98655
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169784
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25037
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232754
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296595
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48756
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84366
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16243
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17793
307.5 IPS |
