iPhone 16 Pro Max
Geekbench AI Score
4580
Single Precision Score
32379
Half Precision Score
41561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | April 05 2025 06:33 PM |
| Views | 11 |
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
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
15136
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19398
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18175
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24321
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8985
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152227
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291680
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
16188
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22621
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41183
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57680
685.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8198
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94964
731.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
158591
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19900
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245559
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300353
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49849
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83201
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3930
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9933
171.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10854
187.6 IPS |
