iPad Pro 13-inch (M4)
Geekbench AI Score
8898
Single Precision Score
10411
Half Precision Score
9377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 10 2024 11:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4503
837.4 IPS |
|
|
Image Classification (HP)
|
100% |
4819
896.1 IPS |
|
|
Image Classification (Q)
|
97% |
4219
787.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6771
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7184
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28220
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30134
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28667
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4788
379.8 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4443
355.1 IPS |
|
|
Face Detection (SP)
|
100% |
12728
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16501
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
11972
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20522
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22382
172.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19031
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58356
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67868
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63840
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11728
433.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12731
470.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10435
385.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1649
28.5 IPS |
