iPad Pro 11-inch (M4)
Geekbench AI Score
4826
Single Precision Score
38323
Half Precision Score
54092
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:51 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 | iPad16,4 |
| 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% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
18548
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
29537
5.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22178
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30754
498.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123126
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231590
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
18313
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26752
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43872
521.3 IPS |
|
|
Face Detection (Q)
|
100% |
64777
769.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99198
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166051
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21664
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236761
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301143
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6146
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51322
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89785
3.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
8068
10.8 KIPS |
|
|
Text Classification (Q)
|
93% |
6875
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17270
297.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19059
329.4 IPS |
