iPhone 16 Pro Max
Geekbench AI Score
4589
Single Precision Score
32958
Half Precision Score
45459
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | March 20 2025 02:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
15056
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19828
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18316
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24145
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9054
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154987
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293574
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
16253
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22239
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41253
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
59296
704.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7976
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96217
741.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159674
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24505
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245950
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304027
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50537
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84430
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4415
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9182
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11239
194.2 IPS |
