iPad Pro 13-inch (M4)
Geekbench AI Score
4720
Single Precision Score
36759
Half Precision Score
51511
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 19 2025 07:02 PM |
| Views | 9 |
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% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
18518
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24085
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22043
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30353
492.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123588
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232145
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
18229
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25560
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
41558
493.8 IPS |
|
|
Face Detection (Q)
|
100% |
62557
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98899
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167180
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234359
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297934
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48579
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83676
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6512
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16323
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17859
308.6 IPS |
