iPhone 16 Pro Max
Geekbench AI Score
4665
Single Precision Score
33364
Half Precision Score
46064
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | April 11 2025 12:39 AM |
| Views | 5 |
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% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
15694
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21130
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18261
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24123
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9396
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153143
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291837
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
16368
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22401
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
41232
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
57038
677.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95008
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162412
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20524
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245282
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302118
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51139
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84110
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10031
172.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11493
198.6 IPS |
