iPad Pro 11-inch (M4)
Geekbench AI Score
4738
Single Precision Score
36826
Half Precision Score
52417
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:16 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
17270
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23890
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22086
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30399
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123485
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232472
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
18251
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26429
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
42559
505.7 IPS |
|
|
Face Detection (Q)
|
100% |
63585
755.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99591
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171455
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25034
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235743
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296304
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5799
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48403
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87358
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6797
9.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6585
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16237
279.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18886
326.4 IPS |
