iPhone 16 Pro Max
Geekbench AI Score
4619
Single Precision Score
31961
Half Precision Score
45307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
15216
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20583
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18355
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24092
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9068
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153769
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290763
340.8 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
16140
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22396
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3916
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57521
683.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8206
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95129
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160695
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20069
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245594
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303007
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50692
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83592
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4446
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4278
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10173
175.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10845
187.4 IPS |
