iPhone 16 Pro Max
Geekbench AI Score
2635
Single Precision Score
4784
Half Precision Score
3776
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:24 AM |
| Views | 2 |
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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1957
363.9 IPS |
|
|
Image Classification (Q)
|
96% |
1355
253.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2016
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3720
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
10168
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8453
9.91 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1649
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4886
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
2532
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4717
36.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9150
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5952
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12981
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22978
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18766
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4533
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3109
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4363
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4286
74.1 IPS |
