iPhone 16 Pro Max
Geekbench AI Score
5754
Single Precision Score
6732
Half Precision Score
6138
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 06:16 AM |
| Views | 2 |
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% |
2707
503.4 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
97% |
2911
543.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4440
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4404
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15826
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16578
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15692
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3248
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
3535
280.4 IPS |
|
|
Object Detection (Q)
|
91% |
3121
249.4 IPS |
|
|
Face Detection (SP)
|
100% |
7790
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10786
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
7192
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13528
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14503
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12588
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33188
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39734
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36475
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8090
298.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8469
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6785
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5769
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
936
16.2 IPS |
