iPad Pro 13-inch (M4)
Geekbench AI Score
4691
Single Precision Score
36438
Half Precision Score
51540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sietec |
| Upload Date | March 22 2025 10:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
17533
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24949
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22079
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30357
492.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123569
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233426
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
18371
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25977
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
42564
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
62909
747.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98887
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167426
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25114
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231526
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296717
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48761
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84613
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6009
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17952
310.2 IPS |
