iPad Pro 13-inch (M4)
Geekbench AI Score
4711
Single Precision Score
36485
Half Precision Score
51579
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 04:16 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
17483
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24316
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22104
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30799
499.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123881
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233347
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
18455
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25935
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43133
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
62841
746.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98943
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167680
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25159
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229716
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298441
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48733
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83755
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6022
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6206
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17989
310.9 IPS |
