iPad Pro 11-inch (M4)
Geekbench AI Score
4883
Single Precision Score
36637
Half Precision Score
51678
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | markerichannelly |
| Upload Date | July 16 2025 03:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
17311
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24775
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22194
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30368
492.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122867
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231648
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
18300
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26005
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
42255
502.1 IPS |
|
|
Face Detection (Q)
|
100% |
62730
745.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99178
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166031
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233439
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297816
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48837
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82898
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6292
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16508
284.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18527
320.2 IPS |
