iPhone 15 Pro Max
Geekbench AI Score
4957
Single Precision Score
5860
Half Precision Score
5675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1932
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (Q)
|
96% |
2166
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3803
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4063
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13060
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14458
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (Q)
|
92% |
2438
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
8152
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
6936
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10736
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12285
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11156
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26557
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28460
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30822
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5418
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5535
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1516
26.2 IPS |
