iPhone 15 Pro Max
Geekbench AI Score
3970
Single Precision Score
6902
Half Precision Score
5635
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | middleAges |
| Upload Date | February 10 2025 02:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3068
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8317
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16858
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14676
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3349
266.6 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6734
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7059
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13524
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9323
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21534
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33165
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27728
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5721
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6067
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6048
104.5 IPS |
