iPad Pro 11-inch (M4)
Geekbench AI Score
4967
Single Precision Score
36416
Half Precision Score
50976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
17292
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23486
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22358
362.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30713
497.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122491
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232596
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
18801
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25749
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
43282
514.3 IPS |
|
|
Face Detection (Q)
|
100% |
62510
742.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98975
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166166
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24259
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233380
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
318520
411.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50611
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82942
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16455
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18070
312.3 IPS |
