iPad Pro 13-inch (M4)
Geekbench AI Score
4731
Single Precision Score
36718
Half Precision Score
51301
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 11:27 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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
17149
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23536
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21994
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30124
488.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123511
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232909
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18194
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25558
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
42332
503.0 IPS |
|
|
Face Detection (Q)
|
100% |
62772
745.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99315
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167038
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25321
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233073
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297300
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48646
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83630
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6736
8.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16372
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17954
310.3 IPS |
