iPad Pro 13-inch (M4)
Geekbench AI Score
8798
Single Precision Score
10194
Half Precision Score
9555
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | CaballoNegro |
| Upload Date | February 07 2025 08:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4418
821.6 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.4 IPS |
|
|
Image Classification (Q)
|
97% |
4101
765.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4842
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7108
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27923
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30011
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28631
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4665
370.0 IPS |
|
|
Object Detection (HP)
|
100% |
5191
411.8 IPS |
|
|
Object Detection (Q)
|
91% |
4410
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
12707
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16244
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
11939
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20301
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22286
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19400
151.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57104
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67131
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62732
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11565
427.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12563
463.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10245
378.3 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1474
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2090
36.1 IPS |
