iPhone 16 Pro Max
Geekbench AI Score
4519
Single Precision Score
31957
Half Precision Score
43799
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 07 2025 12:49 PM |
| Views | 8 |
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% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
14540
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
20448
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18265
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24031
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8794
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
147333
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290276
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
16154
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22380
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3847
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
41142
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
58239
692.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7966
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94446
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160081
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19235
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244624
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301595
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49820
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84243
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3218
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9829
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10678
184.5 IPS |
