iPad Pro 13-inch (M4)
Geekbench AI Score
4694
Single Precision Score
37253
Half Precision Score
52411
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 05:20 PM |
| Views | 15 |
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 | iPad16,5 |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
19053
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
28290
5.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22155
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30670
497.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123948
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233501
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
18653
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26324
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
42712
507.5 IPS |
|
|
Face Detection (Q)
|
100% |
62781
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99270
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167148
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25245
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235563
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297425
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50477
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87600
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17010
293.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17972
310.6 IPS |
