iPhone 16 Pro Max
Geekbench AI Score
4592
Single Precision Score
7807
Half Precision Score
6216
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 11:40 AM |
| Views | 5 |
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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9137
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18298
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15303
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4179
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8163
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14295
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9921
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20291
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37580
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30795
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5150
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7335
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7365
127.3 IPS |
