iPad Pro 11-inch (M4)
Geekbench AI Score
9124
Single Precision Score
10855
Half Precision Score
10011
Quantized Score
Geekbench AI 1.6.1 Corporate for iOS AArch64
Result Information
| Upload Date | December 22 2025 04:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4221
785.0 IPS |
|
|
Image Classification (HP)
|
100% |
4744
882.2 IPS |
|
|
Image Classification (Q)
|
96% |
4383
818.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7028
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7887
127.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7557
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27276
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29478
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29043
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4426
351.1 IPS |
|
|
Object Detection (HP)
|
100% |
5152
408.6 IPS |
|
|
Object Detection (Q)
|
92% |
4706
375.6 IPS |
|
|
Face Detection (SP)
|
100% |
12392
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
16140
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
13151
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19826
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21605
166.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20094
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55693
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65041
83.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63286
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11588
427.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10206
376.9 IPS |
|
|
Text Classification (SP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2415
41.7 IPS |
