iPhone 16 Pro Max
Geekbench AI Score
4584
Single Precision Score
7789
Half Precision Score
6210
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 05 2025 08:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
96% |
2270
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9159
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18203
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15347
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4187
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8137
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14028
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20312
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37124
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30397
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7333
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7289
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
