iPad Pro 11-inch (M4)
Geekbench AI Score
4727
Single Precision Score
36390
Half Precision Score
51188
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | visualvictor |
| Upload Date | March 25 2025 01:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
17820
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25566
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22160
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30446
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123502
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232414
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
18126
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25276
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
43549
517.5 IPS |
|
|
Face Detection (Q)
|
100% |
63453
754.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98905
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167246
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25218
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232592
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296515
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48539
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82840
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16343
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17891
309.2 IPS |
