iPhone 16 Pro Max
Geekbench AI Score
4421
Single Precision Score
33249
Half Precision Score
46048
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 01:43 AM |
| Views | 5 |
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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
15817
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
20208
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18327
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24148
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
151562
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292901
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
16354
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22490
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41176
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58617
696.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96872
746.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166189
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23198
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246561
317.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303273
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50154
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85217
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4747
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4898
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9817
169.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10816
186.9 IPS |
