iPhone 16 Pro Max
Geekbench AI Score
4619
Single Precision Score
32547
Half Precision Score
45393
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
14929
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18970
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24003
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9431
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154828
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294444
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22383
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41156
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57378
681.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8095
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95465
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164904
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24885
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245833
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303148
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50945
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83760
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4565
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9284
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11287
195.1 IPS |
