iPad Pro 13-inch (M4)
Geekbench AI Score
4821
Single Precision Score
36477
Half Precision Score
51600
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mesoblaste |
| Upload Date | May 26 2025 10:26 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
17576
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24468
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22010
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30529
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122591
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231398
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
18592
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25171
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42402
503.8 IPS |
|
|
Face Detection (Q)
|
100% |
63191
750.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98536
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169239
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21726
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232780
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299135
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48433
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82889
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16533
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17976
310.6 IPS |
