iPhone 16 Pro Max
Geekbench AI Score
5975
Single Precision Score
7076
Half Precision Score
6730
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (HP)
|
100% |
2579
479.6 IPS |
|
|
Image Classification (Q)
|
96% |
3129
584.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14856
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17748
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17349
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3033
240.6 IPS |
|
|
Object Detection (HP)
|
100% |
3436
272.5 IPS |
|
|
Object Detection (Q)
|
92% |
3141
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
7216
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
10627
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
8505
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13261
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15797
121.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13641
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30954
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39470
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39194
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8134
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6870
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6112
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
