iPhone 16 Pro Max
Geekbench AI Score
4539
Single Precision Score
7789
Half Precision Score
6229
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 20 2025 01:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1961
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
3424
636.7 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9035
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18236
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15533
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6991
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8199
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13736
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9662
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38456
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31249
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5145
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6282
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6232
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7441
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7327
126.6 IPS |
