iPad Pro 11-inch (M4)
Geekbench AI Score
4936
Single Precision Score
37051
Half Precision Score
52368
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
18963
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
25257
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22554
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31167
505.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122803
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231957
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18186
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
27384
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42912
509.9 IPS |
|
|
Face Detection (Q)
|
100% |
63029
748.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100085
771.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170994
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24083
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234717
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
321658
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52655
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84406
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5737
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16763
288.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18433
318.6 IPS |
