iPhone 16 Pro Max
Geekbench AI Score
4596
Single Precision Score
31280
Half Precision Score
43289
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chally3411 |
| Upload Date | January 27 2025 12:44 AM |
| Views | 3 |
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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
14931
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
19781
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18270
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23906
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9183
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154896
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294057
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16055
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22426
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41084
488.2 IPS |
|
|
Face Detection (Q)
|
100% |
58398
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94756
730.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164890
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24564
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245765
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304233
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50370
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83103
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2741
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9396
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11107
191.9 IPS |
