iPhone 16 Pro Max
Geekbench AI Score
4677
Single Precision Score
7888
Half Precision Score
6285
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 08:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9535
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18878
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15801
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3901
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7553
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4236
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14418
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10040
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20850
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37934
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31187
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7318
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5916
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7369
127.3 IPS |
