iPhone 15 Pro Max
Geekbench AI Score
4930
Single Precision Score
5842
Half Precision Score
5659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 04:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
96% |
2070
386.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3729
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4216
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12996
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14862
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14349
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
2623
208.0 IPS |
|
|
Object Detection (Q)
|
92% |
2389
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
8654
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
6887
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10916
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12078
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11045
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26549
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27977
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32199
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5695
210.3 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1547
26.7 IPS |
