iPad Pro 11-inch (M4)
Geekbench AI Score
9877
Single Precision Score
11457
Half Precision Score
10319
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4556
847.3 IPS |
|
|
Image Classification (HP)
|
100% |
4914
913.8 IPS |
|
|
Image Classification (Q)
|
96% |
4577
854.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7236
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7988
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7687
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27946
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29843
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29558
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4637
367.8 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.8 IPS |
|
|
Object Detection (Q)
|
92% |
4781
381.6 IPS |
|
|
Face Detection (SP)
|
100% |
12747
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16734
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
13430
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20717
159.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22093
170.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20625
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
57093
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66624
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64734
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11829
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11817
436.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10463
386.4 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5400
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2745
47.4 IPS |
