iPhone 15 Pro Max
Geekbench AI Score
4006
Single Precision Score
6907
Half Precision Score
5662
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | January 30 2025 08:15 PM |
| Views | 8 |
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% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
17063
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14760
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3379
269.0 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6818
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3907
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13637
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9397
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21763
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32934
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27774
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6085
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6128
105.9 IPS |
