iPhone 16 Pro Max
Geekbench AI Score
4413
Single Precision Score
7550
Half Precision Score
6049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 06:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.3 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8465
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
16900
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14652
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3624
288.5 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7133
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
3980
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7702
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13460
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9371
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18335
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34360
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28928
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7256
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7199
124.4 IPS |
