iPhone 16 Pro Max
Geekbench AI Score
4645
Single Precision Score
33381
Half Precision Score
46027
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 25 2025 03:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
15309
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21095
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18416
298.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23847
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9278
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153638
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293174
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
16134
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22287
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
40622
482.7 IPS |
|
|
Face Detection (Q)
|
100% |
59423
706.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96773
745.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161448
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20719
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245844
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
305597
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50618
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84186
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4952
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4825
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10148
174.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10901
188.4 IPS |
