iPad Pro 11-inch (M4)
Geekbench AI Score
4733
Single Precision Score
36770
Half Precision Score
52918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 09:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
17673
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
28997
5.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21997
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30634
496.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9697
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122485
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230574
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
18627
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26046
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4107
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
43146
512.7 IPS |
|
|
Face Detection (Q)
|
100% |
63340
752.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99274
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169938
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20743
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233055
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296673
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5930
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49695
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86424
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6528
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16054
276.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17918
309.6 IPS |
