iPhone 15 Pro Max
Geekbench AI Score
5019
Single Precision Score
5927
Half Precision Score
5778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.5 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3694
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4129
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13207
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15116
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14551
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2678
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
8640
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
6916
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10899
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12292
94.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11314
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26989
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32784
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32507
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5577
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1566
27.1 IPS |
