iPhone 15 Pro Max
Geekbench AI Score
5029
Single Precision Score
6208
Half Precision Score
5756
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.6 IPS |
|
|
Image Classification (Q)
|
96% |
2379
444.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3682
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4163
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13266
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15332
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14813
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (Q)
|
92% |
2481
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
6438
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8795
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
7142
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10975
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12350
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11393
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27321
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33300
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33498
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5560
205.3 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1339
23.1 IPS |
