iPhone 16 Pro Max
Geekbench AI Score
4325
Single Precision Score
32784
Half Precision Score
46231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:43 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
15455
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20747
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18262
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24033
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7937
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
143475
167.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
283058
331.8 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
100% |
16488
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22998
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
40983
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
58396
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7253
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95191
733.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
158917
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21929
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244818
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302650
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49651
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83308
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4854
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5168
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9333
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11365
196.4 IPS |
