iPhone 16 Pro Max
Geekbench AI Score
4219
Single Precision Score
32549
Half Precision Score
45734
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 07:37 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% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
15286
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20238
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18178
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23728
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7965
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
145311
169.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291021
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
16198
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22389
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
40573
482.1 IPS |
|
|
Face Detection (Q)
|
100% |
57936
688.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94253
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159138
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21753
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244353
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303584
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49188
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83845
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4690
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5013
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9468
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10875
187.9 IPS |
