iPad Pro 11-inch (M4)
Geekbench AI Score
4961
Single Precision Score
36523
Half Precision Score
51770
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DeakonFrost |
| Upload Date | September 11 2025 08:50 PM |
| Views | 13 |
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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17440
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
26976
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22581
366.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30836
499.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10110
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122984
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233192
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
18503
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25867
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42595
506.1 IPS |
|
|
Face Detection (Q)
|
100% |
62106
737.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8530
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98965
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162158
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24430
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233343
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320751
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50842
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82532
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4637
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16742
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18384
317.7 IPS |
