iPad Pro 13-inch (M4)
Geekbench AI Score
4702
Single Precision Score
36067
Half Precision Score
51275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:08 PM |
| Views | 1 |
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 | iPad16,6 |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
16699
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
24346
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21828
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30020
486.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123187
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232421
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18601
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25271
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42307
502.7 IPS |
|
|
Face Detection (Q)
|
100% |
62593
743.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98693
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168223
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25159
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231669
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298063
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48095
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86480
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16220
279.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17749
306.7 IPS |
