iPhone 16 Pro Max
Geekbench AI Score
4314
Single Precision Score
32824
Half Precision Score
46134
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:16 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
15413
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20654
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24075
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7911
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
142766
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
282700
331.3 IPS |
|
|
Object Detection (SP)
|
100% |
2043
162.0 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22583
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
41348
491.3 IPS |
|
|
Face Detection (Q)
|
100% |
57279
680.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7300
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95214
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161256
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244154
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303821
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50041
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83214
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9819
169.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
