iPad Pro 13-inch (M4)
Geekbench AI Score
9352
Single Precision Score
10665
Half Precision Score
10014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4409
820.0 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
96% |
4512
842.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7108
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7934
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7603
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27667
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29735
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29372
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
92% |
4742
378.5 IPS |
|
|
Face Detection (SP)
|
100% |
12748
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16592
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13363
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20699
159.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21761
167.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20319
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56284
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65639
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63934
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11805
435.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11502
424.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2129
36.8 IPS |
