iPad Pro 11-inch (M4)
Geekbench AI Score
4717
Single Precision Score
36882
Half Precision Score
52217
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
17362
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25399
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22109
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30595
496.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124291
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232639
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18731
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25984
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42206
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
63124
750.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99152
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169138
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25058
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233640
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297838
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49800
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86503
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6548
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6515
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16347
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17903
309.4 IPS |
