iPad Pro 13-inch (M4)
Geekbench AI Score
4709
Single Precision Score
36342
Half Precision Score
52008
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
17039
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24548
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22099
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30306
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123457
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232740
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18726
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26343
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
42247
502.0 IPS |
|
|
Face Detection (Q)
|
100% |
62761
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98656
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167238
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25164
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232494
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298703
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48787
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87283
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6462
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16388
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17953
310.3 IPS |
