iPhone 16 Pro Max
Geekbench AI Score
4480
Single Precision Score
33186
Half Precision Score
46295
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | goggi |
| Upload Date | January 07 2025 11:34 PM |
| Views | 8 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
15487
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20454
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18178
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24041
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152532
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293497
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
16228
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22512
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41157
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57996
689.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7719
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95316
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160263
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23592
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245487
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301582
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50498
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85674
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5089
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10023
172.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11389
196.8 IPS |
