iPad Pro 13-inch (M4)
Geekbench AI Score
4702
Single Precision Score
36358
Half Precision Score
51590
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | leglerreddin |
| Upload Date | February 24 2025 08:58 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
17352
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24439
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21927
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30083
487.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123672
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232167
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18218
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26281
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
42194
501.4 IPS |
|
|
Face Detection (Q)
|
100% |
62428
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98859
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168422
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25188
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235287
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299782
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48329
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84637
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6261
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16254
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17827
308.1 IPS |
