iPhone 16 Pro Max
Geekbench AI Score
5628
Single Precision Score
6971
Half Precision Score
6532
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.9 IPS |
|
|
Image Classification (Q)
|
96% |
3033
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4273
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4673
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14819
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17700
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16935
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3035
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3349
265.7 IPS |
|
|
Object Detection (Q)
|
92% |
3403
271.6 IPS |
|
|
Face Detection (SP)
|
100% |
7002
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
10194
121.1 IPS |
|
|
Face Detection (Q)
|
100% |
7844
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12631
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15445
119.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13672
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30975
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38839
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38116
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8073
298.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6808
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5382
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1153
19.9 IPS |
