iPhone 16 Pro Max
Geekbench AI Score
5895
Single Precision Score
7007
Half Precision Score
6666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ahmadalfakher |
| Upload Date | October 18 2025 09:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2887
536.8 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
96% |
3114
581.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4115
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4852
78.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4672
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14862
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17715
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16938
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3061
242.8 IPS |
|
|
Object Detection (HP)
|
100% |
3325
263.8 IPS |
|
|
Object Detection (Q)
|
92% |
3134
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
7111
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10200
121.2 IPS |
|
|
Face Detection (Q)
|
100% |
7990
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12633
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14876
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13426
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30615
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38654
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38311
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7407
273.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8120
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7001
258.5 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1274
22.0 IPS |
