iPhone 15 Pro Max
Geekbench AI Score
5003
Single Precision Score
6015
Half Precision Score
5742
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | February 01 2026 04:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (Q)
|
96% |
2064
385.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3806
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4310
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4128
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13217
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15408
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14863
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
92% |
2527
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
8634
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
7058
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10807
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12390
95.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11481
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27275
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33122
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33124
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5553
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1477
25.5 IPS |
