iPhone 16 Pro Max
Geekbench AI Score
4472
Single Precision Score
7681
Half Precision Score
6144
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8693
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17967
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15121
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.3 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7541
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13834
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9613
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23467
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37067
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30215
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6933
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4936
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6990
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
