iPhone 16 Pro Max
Geekbench AI Score
5757
Single Precision Score
6914
Half Precision Score
6583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2812
523.0 IPS |
|
|
Image Classification (HP)
|
100% |
2693
500.8 IPS |
|
|
Image Classification (Q)
|
96% |
2994
559.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4283
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4884
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4693
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14717
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17491
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16950
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
3387
268.6 IPS |
|
|
Object Detection (Q)
|
92% |
3086
246.3 IPS |
|
|
Face Detection (SP)
|
100% |
7012
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
10349
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
8048
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12547
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14811
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14299
111.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31158
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38135
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38199
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7343
271.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7152
264.1 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5790
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1146
19.8 IPS |
