iPhone 15 Pro Max
Geekbench AI Score
3947
Single Precision Score
6849
Half Precision Score
5634
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 09:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
2913
541.8 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8382
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
16787
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14543
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3348
266.5 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6718
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7059
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13485
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9319
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21548
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32725
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27607
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5729
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5940
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5993
103.6 IPS |
