iPhone 16 Pro Max
Geekbench AI Score
4686
Single Precision Score
32899
Half Precision Score
44388
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | August 20 2025 12:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
14898
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20639
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23891
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9680
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153165
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291638
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
16266
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22509
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
58494
695.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95382
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159165
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20673
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245671
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301916
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50693
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85562
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4504
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3297
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10024
172.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11569
199.9 IPS |
