iPhone 16 Pro Max
Geekbench AI Score
5811
Single Precision Score
6727
Half Precision Score
6088
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.8 IPS |
|
|
Image Classification (Q)
|
97% |
2875
536.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3365
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4373
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15601
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16408
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15689
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (HP)
|
100% |
3675
291.5 IPS |
|
|
Object Detection (Q)
|
91% |
2828
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
7909
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
11053
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
7603
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13925
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15194
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12259
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32379
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38320
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37126
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7881
291.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8185
302.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6808
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
