iPhone 16 Pro Max
Geekbench AI Score
4512
Single Precision Score
33128
Half Precision Score
45656
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15320
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20415
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18162
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24051
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8711
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154470
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292460
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2149
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22957
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41173
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57086
678.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7782
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95718
737.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162604
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23702
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246109
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301740
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50678
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83552
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4545
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9548
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11224
194.0 IPS |
