iPad Pro 13-inch (M4)
Geekbench AI Score
4764
Single Precision Score
36625
Half Precision Score
52667
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 27 2025 01:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17819
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
28392
5.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22047
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30367
492.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9864
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123776
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232040
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
18516
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26301
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
42210
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
63474
754.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98988
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166971
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21398
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233995
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299168
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48857
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87743
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6173
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16362
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17798
307.6 IPS |
