iPhone 16 Pro Max
Geekbench AI Score
4734
Single Precision Score
4668
Half Precision Score
5018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2871
533.9 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
96% |
2158
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2975
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10233
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (Q)
|
92% |
2483
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
7066
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
7789
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
6445
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10480
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9828
75.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11187
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25337
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22713
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24709
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6304
232.8 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4382
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
