iPhone 15 Pro Max
Geekbench AI Score
3977
Single Precision Score
6884
Half Precision Score
5613
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barnsleyboy |
| Upload Date | March 29 2025 05:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8399
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
16861
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14649
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3358
267.4 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7118
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13476
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9345
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21436
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33350
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27633
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6002
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6004
103.8 IPS |
