iPhone 16 Pro Max
Geekbench AI Score
4603
Single Precision Score
33649
Half Precision Score
45681
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 11:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
13758
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
19043
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17994
291.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23528
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9108
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151158
176.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
287487
337.0 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
16120
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
21772
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
39694
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
52676
625.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93703
721.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
148813
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
22458
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244300
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294069
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50022
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77930
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6235
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10984
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12598
217.7 IPS |
