iPad Pro 11-inch (M4)
Geekbench AI Score
8734
Single Precision Score
10492
Half Precision Score
9478
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | joebot |
| Upload Date | March 08 2025 02:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4384
815.2 IPS |
|
|
Image Classification (HP)
|
100% |
4791
890.9 IPS |
|
|
Image Classification (Q)
|
97% |
4092
763.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4856
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6701
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7111
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27625
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29843
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28441
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.7 IPS |
|
|
Object Detection (Q)
|
91% |
4404
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
12775
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16352
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
11910
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20233
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22331
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19246
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54412
69.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66319
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62408
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11471
423.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12592
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5297
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2087
36.1 IPS |
