iPhone 16 Pro Max
Geekbench AI Score
4655
Single Precision Score
33535
Half Precision Score
46122
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 01:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
15124
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20302
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18228
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24229
392.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154913
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294531
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
16305
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22544
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41207
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57971
688.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8122
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95149
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160158
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24933
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245377
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304009
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50735
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84340
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4920
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10014
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11388
196.8 IPS |
