iPad Pro 13-inch (M4)
Geekbench AI Score
4723
Single Precision Score
36395
Half Precision Score
51213
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 26 2025 10:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
17327
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23375
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22142
358.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30350
492.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123695
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231490
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25708
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43210
513.4 IPS |
|
|
Face Detection (Q)
|
100% |
62561
743.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99421
766.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167521
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25179
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233246
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298212
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48394
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83836
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16225
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18155
313.7 IPS |
