iPhone 16 Pro Max
Geekbench AI Score
4687
Single Precision Score
31090
Half Precision Score
43062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhone16M2 |
| Upload Date | March 08 2025 05:46 AM |
| Views | 7 |
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
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
15026
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19740
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18126
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23813
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9783
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153790
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293377
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
16372
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22519
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
41155
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57321
681.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94910
731.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160141
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20907
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245798
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303904
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50257
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85405
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2647
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10013
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11196
193.5 IPS |
