iPad Pro 13-inch (M4)
Geekbench AI Score
8780
Single Precision Score
10622
Half Precision Score
9523
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 11 2025 02:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
4787
890.2 IPS |
|
|
Image Classification (Q)
|
97% |
4095
764.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4855
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7140
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27986
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29998
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28554
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4691
372.1 IPS |
|
|
Object Detection (HP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (Q)
|
91% |
4448
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
12859
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16435
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
12005
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20229
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22315
171.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19203
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55671
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67092
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62981
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11787
435.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12649
467.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10280
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2024
35.0 IPS |
