iPhone 16 Pro Max
Geekbench AI Score
4634
Single Precision Score
7841
Half Precision Score
6269
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 01:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3438
639.4 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9493
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18433
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15704
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7467
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8196
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14248
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10016
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20510
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37495
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30973
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5491
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7363
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5213
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7406
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7423
128.3 IPS |
