iPad Pro 13-inch (M4)
Geekbench AI Score
4786
Single Precision Score
37836
Half Precision Score
52924
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:11 AM |
| Views | 3 |
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, 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
19205
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
29437
5.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22298
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30790
499.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9774
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123213
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232474
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
19117
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
27722
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4315
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
43254
513.9 IPS |
|
|
Face Detection (Q)
|
100% |
58857
699.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99006
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169227
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21877
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233550
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296999
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50920
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88207
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
7016
9.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6254
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4441
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16683
287.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18088
312.6 IPS |
