iPhone 16 Pro Max
Geekbench AI Score
4411
Single Precision Score
7505
Half Precision Score
5967
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bripie |
| Upload Date | August 04 2025 03:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.6 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8492
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16752
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14110
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.1 IPS |
|
|
Object Detection (HP)
|
97% |
3412
271.6 IPS |
|
|
Object Detection (Q)
|
94% |
2519
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7051
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7693
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13271
102.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9022
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18743
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35306
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28837
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5986
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7246
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7229
124.9 IPS |
