iPhone 16 Pro Max
Geekbench AI Score
5876
Single Precision Score
7023
Half Precision Score
6607
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:51 AM |
| Views | 5 |
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% |
2880
535.6 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.9 IPS |
|
|
Image Classification (Q)
|
96% |
2980
556.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4865
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4691
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14837
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17647
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16984
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.8 IPS |
|
|
Object Detection (HP)
|
100% |
3346
265.4 IPS |
|
|
Object Detection (Q)
|
92% |
3160
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
6904
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
10310
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
7973
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12551
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15041
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13616
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30992
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38642
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38117
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7371
272.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8048
297.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6795
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1238
21.4 IPS |
