iPad Pro 11-inch (M4)
Geekbench AI Score
4836
Single Precision Score
36500
Half Precision Score
52103
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
17513
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25679
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22086
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30365
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122485
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230692
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18277
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27019
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43139
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
63073
749.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99061
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166964
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21605
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231954
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
295999
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48965
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85812
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6144
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16254
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17861
308.7 IPS |
