iPad Pro 11-inch (M4)
Geekbench AI Score
4722
Single Precision Score
36540
Half Precision Score
51114
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pressure_P |
| Upload Date | January 03 2025 04:40 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 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
17351
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24123
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22104
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30370
492.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123193
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233175
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18158
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25539
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
43566
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
62867
747.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98663
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167713
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232203
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296554
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48702
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83120
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6253
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16275
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17934
309.9 IPS |
