iPhone 15 Pro Max
Geekbench AI Score
5101
Single Precision Score
6238
Half Precision Score
5791
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bitchhavemymunee |
| Upload Date | August 19 2025 10:34 AM |
| Views | 10 |
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% |
2461
457.7 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.4 IPS |
|
|
Image Classification (Q)
|
96% |
2678
500.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13045
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15159
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14442
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (Q)
|
92% |
2449
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
6272
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
7129
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10590
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12336
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11413
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26725
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32501
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31843
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6469
238.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5641
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
