iPhone 16 Pro Max
Geekbench AI Score
4590
Single Precision Score
7815
Half Precision Score
6207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 17 2025 03:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3414
635.0 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9232
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18206
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15349
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7279
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8028
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9689
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19836
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37230
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30268
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5090
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6038
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6018
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7367
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7402
127.9 IPS |
