iPhone 16 Pro Max
Geekbench AI Score
4404
Single Precision Score
7637
Half Precision Score
6062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 03:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8460
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17444
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14775
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7313
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7406
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13564
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9454
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23195
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36421
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29672
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5364
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5976
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
