iPhone 16 Pro Max
Geekbench AI Score
6051
Single Precision Score
7076
Half Precision Score
6652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2973
552.9 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.6 IPS |
|
|
Image Classification (Q)
|
96% |
3134
585.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4705
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15577
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16215
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15827
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (HP)
|
100% |
3439
272.8 IPS |
|
|
Object Detection (Q)
|
92% |
3114
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
10586
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8477
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13383
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14889
114.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13280
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32682
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39383
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37370
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8033
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8409
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7536
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
