iPad Pro 11-inch (M4)
Geekbench AI Score
2052
Single Precision Score
37100
Half Precision Score
53356
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 07 2025 07:54 PM |
| Views | 15 |
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, 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% |
1975
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
18091
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
26787
5.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22118
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30544
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124059
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233693
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18425
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26418
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42835
509.0 IPS |
|
|
Face Detection (Q)
|
100% |
64220
763.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99997
770.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168576
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25191
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235187
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298657
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49651
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85929
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
7106
9.54 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
100% |
17103
294.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18753
324.1 IPS |
