iPhone 16 Pro Max
Geekbench AI Score
4642
Single Precision Score
7826
Half Precision Score
6230
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | weathersam |
| Upload Date | April 01 2025 09:56 PM |
| Views | 19 |
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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9550
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18487
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15569
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7435
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4168
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8153
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14264
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9916
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20809
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37776
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7294
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7382
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7328
126.6 IPS |
