iPad Pro 11-inch (M4)
Geekbench AI Score
4866
Single Precision Score
36478
Half Precision Score
51608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
17136
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24727
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22016
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30234
490.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10096
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123279
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232488
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
18571
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26399
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
42398
503.8 IPS |
|
|
Face Detection (Q)
|
100% |
63144
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98688
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167127
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22131
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232286
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296483
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49481
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82874
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6071
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6181
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16543
285.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18226
315.0 IPS |
