iPad Pro 13-inch (M4)
Geekbench AI Score
4726
Single Precision Score
36396
Half Precision Score
51880
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | CaballoNegro |
| Upload Date | February 07 2025 08:30 PM |
| Views | 16 |
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, 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
17680
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25073
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21915
355.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30436
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10090
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123409
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232495
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18163
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25556
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42431
504.2 IPS |
|
|
Face Detection (Q)
|
100% |
62717
745.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98759
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168037
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25238
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232487
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297532
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48551
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84854
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6547
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16259
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17885
309.1 IPS |
