iPhone 16 Pro Max
Geekbench AI Score
4652
Single Precision Score
32933
Half Precision Score
45886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | April 28 2025 02:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
14300
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
20374
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18261
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24075
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9445
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153325
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291570
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
16261
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22479
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
41064
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
58197
691.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96091
740.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159069
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20318
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245278
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303637
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50366
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86790
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4591
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10013
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11495
198.7 IPS |
