iPhone 15 Pro Max
Geekbench AI Score
4926
Single Precision Score
5805
Half Precision Score
5193
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Daniel_211 |
| Upload Date | July 14 2025 03:10 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1936
360.1 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.4 IPS |
|
|
Image Classification (Q)
|
96% |
1238
231.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4079
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12930
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14299
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13999
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (Q)
|
92% |
2268
181.0 IPS |
|
|
Face Detection (SP)
|
100% |
5820
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
6647
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10793
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11870
91.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10944
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26909
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32201
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30680
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5537
204.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5275
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1431
24.7 IPS |
