iPad Pro 13-inch (M4)
Geekbench AI Score
4742
Single Precision Score
37341
Half Precision Score
51288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
17897
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24011
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21996
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30211
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10027
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123730
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232775
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
18145
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25452
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
42278
502.4 IPS |
|
|
Face Detection (Q)
|
100% |
62742
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99586
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167423
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25367
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233984
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297274
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48749
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84358
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
7579
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16388
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18186
314.3 IPS |
