iPad Pro 13-inch (M4)
Geekbench AI Score
4849
Single Precision Score
36701
Half Precision Score
51606
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | metalizone |
| Upload Date | April 26 2025 10:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
17100
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24544
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22167
359.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30278
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122773
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231450
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
18617
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26160
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
43222
513.6 IPS |
|
|
Face Detection (Q)
|
100% |
63147
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98562
759.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171788
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21818
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
230769
296.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297001
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49218
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82692
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6336
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16696
287.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18103
312.8 IPS |
