iPhone 16 Pro Max
Geekbench AI Score
6038
Single Precision Score
7054
Half Precision Score
6741
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | May 19 2025 11:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2923
543.5 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
3109
580.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4366
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4693
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15383
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16819
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16640
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3387
268.6 IPS |
|
|
Object Detection (Q)
|
92% |
3127
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
10535
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
8472
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13346
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15189
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14198
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32584
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38238
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38286
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7997
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8215
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7544
278.6 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
