iPhone 15 Pro Max
Geekbench AI Score
3738
Single Precision Score
6860
Half Precision Score
5620
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | November 09 2025 12:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.0 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3021
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7271
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16320
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14014
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3798
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6632
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12688
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8910
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20377
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33223
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27462
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7379
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
