iPad Pro 11-inch (M4)
Geekbench AI Score
4705
Single Precision Score
36452
Half Precision Score
51360
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
17343
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24178
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22064
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30425
493.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123832
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233171
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25960
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42841
509.0 IPS |
|
|
Face Detection (Q)
|
100% |
63115
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98934
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167845
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25068
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233971
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298601
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48372
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83428
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6012
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6018
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16428
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18061
312.1 IPS |
