iPad Pro 13-inch (M4)
Geekbench AI Score
8551
Single Precision Score
10500
Half Precision Score
9461
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | January 30 2025 03:09 PM |
| Views | 2 |
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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4390
816.4 IPS |
|
|
Image Classification (HP)
|
100% |
4803
893.3 IPS |
|
|
Image Classification (Q)
|
97% |
4119
768.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4736
76.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6692
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7105
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27795
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29978
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28534
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (Q)
|
91% |
4451
355.7 IPS |
|
|
Face Detection (SP)
|
100% |
12661
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
16281
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11875
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20196
155.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22276
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19258
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55018
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66615
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62491
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11609
428.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12609
465.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10191
376.3 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5106
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5066
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2096
36.2 IPS |
