iPhone 16 Pro Max
Geekbench AI Score
4667
Single Precision Score
33123
Half Precision Score
45939
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 24 2026 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
15230
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19906
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18108
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23554
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9159
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153381
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293266
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
16385
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22336
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
39632
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
56580
672.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8432
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95603
736.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160969
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21221
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246042
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300960
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50387
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84710
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5039
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10229
176.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11650
201.3 IPS |
