iPad Pro 11-inch (M4)
Geekbench AI Score
4710
Single Precision Score
36778
Half Precision Score
52654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ricochet |
| Upload Date | February 13 2025 07:24 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
17322
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24780
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22110
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30477
494.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123639
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233268
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
18397
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26677
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43685
519.1 IPS |
|
|
Face Detection (Q)
|
100% |
63569
755.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100766
776.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171358
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24290
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233877
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300149
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49637
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
92415
3.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6210
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16381
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18024
311.5 IPS |
