iPhone 15 Pro Max
Geekbench AI Score
4004
Single Precision Score
25570
Half Precision Score
35605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 06:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
10975
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
14575
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16757
271.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21535
349.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8191
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
105700
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205082
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
13873
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19005
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33737
400.9 IPS |
|
|
Face Detection (Q)
|
100% |
54720
650.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7156
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78842
607.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
130267
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21584
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
207119
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
255659
329.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36326
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57691
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3443
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6519
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7395
127.8 IPS |
