iPhone 16 Pro Max
Geekbench AI Score
5813
Single Precision Score
6704
Half Precision Score
6112
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2761
513.5 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
97% |
2580
481.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3476
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4449
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4433
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15851
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16580
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15623
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
3524
279.5 IPS |
|
|
Object Detection (Q)
|
91% |
3137
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
7935
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
10759
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7195
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13841
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14519
111.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12629
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33085
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39623
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35819
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8083
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8277
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6826
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.3 IPS |
