iPhone 16 Pro Max
Geekbench AI Score
5970
Single Precision Score
7112
Half Precision Score
6740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 07:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3039
565.1 IPS |
|
|
Image Classification (HP)
|
100% |
3189
593.1 IPS |
|
|
Image Classification (Q)
|
96% |
3145
587.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4285
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4705
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14877
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17639
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16919
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (HP)
|
100% |
3293
261.2 IPS |
|
|
Object Detection (Q)
|
92% |
3136
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
6966
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10324
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
8030
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12732
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14913
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13878
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31029
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38373
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37097
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8088
298.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6882
254.1 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1426
24.6 IPS |
