iPad Pro 13-inch (M4)
Geekbench AI Score
8126
Single Precision Score
9823
Half Precision Score
8704
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
4503
837.4 IPS |
|
|
Image Classification (HP)
|
100% |
4869
905.4 IPS |
|
|
Image Classification (Q)
|
97% |
4232
789.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6690
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7105
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27839
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30117
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28663
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4695
372.4 IPS |
|
|
Object Detection (HP)
|
100% |
5223
414.3 IPS |
|
|
Object Detection (Q)
|
91% |
4429
353.9 IPS |
|
|
Face Detection (SP)
|
100% |
12729
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16504
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
11958
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20294
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22384
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19486
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56925
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66740
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
62512
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11715
432.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12586
464.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10282
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5362
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
795
13.7 IPS |
