iPad Pro 13-inch (M4)
Geekbench AI Score
4720
Single Precision Score
36294
Half Precision Score
51484
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
16911
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
25710
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22094
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30500
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123756
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232724
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
18147
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25619
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43270
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
63005
748.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98887
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168312
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25124
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233914
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296256
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48788
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83632
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16312
281.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17835
308.2 IPS |
