iPad Pro 13-inch (M4)
Geekbench AI Score
4951
Single Precision Score
36052
Half Precision Score
50869
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 25 2025 04:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
17187
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24413
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22449
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31074
503.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123117
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233253
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
17973
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25541
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42350
503.2 IPS |
|
|
Face Detection (Q)
|
100% |
62081
737.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99435
766.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165343
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24414
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234064
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
321071
414.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51473
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83577
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3124
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16294
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17894
309.2 IPS |
