iPhone 16 Pro Max
Geekbench AI Score
4399
Single Precision Score
7541
Half Precision Score
6038
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ar_vor |
| Upload Date | January 01 2025 04:56 AM |
| Views | 3 |
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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.4 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8551
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17408
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14700
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
97% |
3699
294.4 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7413
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13521
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9427
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23036
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35401
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29618
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6900
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6915
119.5 IPS |
