iPad Pro 11-inch (M4)
Geekbench AI Score
4830
Single Precision Score
36505
Half Precision Score
53495
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 04:11 PM |
| Views | 6 |
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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
17420
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
28202
5.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22156
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30687
497.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122957
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232246
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
18369
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25928
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42323
502.9 IPS |
|
|
Face Detection (Q)
|
100% |
63304
752.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99469
766.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166881
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21835
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235378
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297831
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48850
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83934
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6056
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
7706
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18099
312.8 IPS |
