iPad Pro 13-inch (M4)
Geekbench AI Score
9543
Single Precision Score
11407
Half Precision Score
10659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gugus_le_a |
| Upload Date | April 23 2025 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
4437
825.1 IPS |
|
|
Image Classification (HP)
|
100% |
4850
902.0 IPS |
|
|
Image Classification (Q)
|
96% |
4609
860.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7187
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7911
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7701
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28110
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29909
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29193
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4549
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (Q)
|
92% |
4805
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
12788
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16585
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
13368
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20473
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22474
173.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20651
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56411
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67242
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65082
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11588
427.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12705
469.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11040
407.7 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3677
63.5 IPS |
