iPhone 16 Pro Max
Geekbench AI Score
4502
Single Precision Score
7720
Half Precision Score
6103
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Sparcy |
| Upload Date | July 24 2025 05:03 AM |
| Views | 27 |
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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8848
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17584
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14850
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3719
296.1 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7213
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
3950
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7925
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13903
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9449
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19463
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36836
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29987
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5074
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7136
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
