iPhone 16 Pro Max
Geekbench AI Score
4675
Single Precision Score
33123
Half Precision Score
45927
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 16 2025 05:42 AM |
| Views | 3 |
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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
15483
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
19841
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18277
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24218
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9581
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153597
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293895
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
16351
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23301
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41219
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
59120
702.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95175
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164930
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
20889
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246470
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301370
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5565
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51008
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86046
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4391
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4430
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10331
178.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11330
195.8 IPS |
