iPhone 15 Pro Max
Geekbench AI Score
3981
Single Precision Score
7060
Half Precision Score
5756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 10:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1682
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8214
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
17164
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14761
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.6 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3855
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12902
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9056
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21873
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35019
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28576
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4484
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7040
121.7 IPS |
