iPhone 15 Pro Max
Geekbench AI Score
3867
Single Precision Score
24870
Half Precision Score
35278
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 10:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
11186
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15138
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16326
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21540
349.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7703
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106656
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203269
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
13880
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19321
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33634
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
52923
628.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6787
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78342
603.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127037
993.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20564
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
200039
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
258159
333.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33967
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55267
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3261
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6528
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7454
128.8 IPS |
