iPad Pro 11-inch (M4)
Geekbench AI Score
4760
Single Precision Score
36317
Half Precision Score
50971
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FangYuan |
| Upload Date | January 28 2025 02:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
17551
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24645
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22071
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30251
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10122
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123632
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232893
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18305
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25547
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42343
503.1 IPS |
|
|
Face Detection (Q)
|
100% |
62637
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98623
759.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167111
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25237
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233340
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298229
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49009
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81853
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5799
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5842
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17880
309.0 IPS |
