iPad Pro 13-inch (M4)
Geekbench AI Score
4958
Single Precision Score
8028
Half Precision Score
6422
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | computerdoc78 |
| Upload Date | July 04 2025 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10109
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19511
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16683
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8548
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14126
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9916
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24397
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39532
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32359
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8092
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
