iPhone 15 Pro Max
Geekbench AI Score
3916
Single Precision Score
6890
Half Precision Score
5637
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Fabianlozano |
| Upload Date | August 09 2025 01:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
2914
542.0 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7927
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16524
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14249
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.8 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3816
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6952
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12755
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8927
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21516
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34069
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28132
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7221
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6963
120.3 IPS |
