iPhone 16 Pro Max
Geekbench AI Score
4560
Single Precision Score
7773
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9223
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18183
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15342
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2281
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7361
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4114
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8010
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14138
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9807
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19978
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37088
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30310
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7297
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7175
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
