iPhone 15 Pro Max
Geekbench AI Score
4983
Single Precision Score
6020
Half Precision Score
5715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | September 29 2025 08:08 PM |
| Views | 5 |
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% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
96% |
2062
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3751
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4129
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13175
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15146
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14675
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (Q)
|
92% |
2513
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
6446
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
7151
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10974
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12285
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11309
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26794
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32825
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32474
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5510
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1459
25.2 IPS |
