iPhone 16 Pro Max
Geekbench AI Score
4573
Single Precision Score
32962
Half Precision Score
46427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | May 24 2025 11:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2069
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
15137
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
21781
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24069
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8832
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
150151
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292008
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
16326
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22608
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41182
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57040
677.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95140
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159429
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19672
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245297
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302621
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50594
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84556
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4436
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10343
178.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11426
197.5 IPS |
