iPhone 16 Pro Max
Geekbench AI Score
4640
Single Precision Score
7837
Half Precision Score
6276
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9531
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18899
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16260
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
3657
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4293
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8069
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14394
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10100
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25014
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37895
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31276
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6951
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7078
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7091
122.5 IPS |
