iPad Pro 13-inch (M4)
Geekbench AI Score
8792
Single Precision Score
10602
Half Precision Score
9541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
4386
815.7 IPS |
|
|
Image Classification (HP)
|
100% |
4773
887.6 IPS |
|
|
Image Classification (Q)
|
97% |
4100
765.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6723
109.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7145
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27990
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30009
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28546
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4748
376.6 IPS |
|
|
Object Detection (HP)
|
100% |
5184
411.2 IPS |
|
|
Object Detection (Q)
|
91% |
4421
353.2 IPS |
|
|
Face Detection (SP)
|
100% |
12799
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16410
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
11990
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20264
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22323
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19272
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55397
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67353
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62684
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11507
424.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12627
466.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10275
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
