iPad Pro 11-inch (M4)
Geekbench AI Score
4724
Single Precision Score
36294
Half Precision Score
51298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:51 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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
16949
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23773
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22048
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30206
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123606
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232812
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
18231
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25659
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42090
500.1 IPS |
|
|
Face Detection (Q)
|
100% |
63161
750.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98702
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167551
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25194
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229574
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297429
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49618
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83665
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6059
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6202
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16429
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18012
311.3 IPS |
