iPhone 15 Pro Max
Geekbench AI Score
3988
Single Precision Score
6909
Half Precision Score
5671
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | February 13 2025 03:45 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.7 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
17063
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14789
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2385
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3892
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13574
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9349
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21728
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32870
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27906
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5739
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5699
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5990
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6072
104.9 IPS |
