iPhone 15 Pro Max
Geekbench AI Score
3907
Single Precision Score
6866
Half Precision Score
5644
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 11:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1656
308.0 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.6 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8232
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16709
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14583
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3292
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6932
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12801
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8948
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21462
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33716
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27596
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5740
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5127
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5129
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7231
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7264
125.5 IPS |
