iPad Pro 11-inch (M4)
Geekbench AI Score
4842
Single Precision Score
36497
Half Precision Score
52419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 05:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17659
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
27282
5.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22219
360.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30580
495.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122822
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231509
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
18307
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26400
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43175
513.0 IPS |
|
|
Face Detection (Q)
|
100% |
63737
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98684
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166624
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21686
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231776
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298883
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49369
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85205
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16345
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17918
309.7 IPS |
