iPhone 16 Pro Max
Geekbench AI Score
4382
Single Precision Score
33047
Half Precision Score
46394
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
15246
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20636
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18290
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24175
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7988
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
147892
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292427
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2073
164.4 IPS |
|
|
Object Detection (HP)
|
100% |
16156
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22862
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41140
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58585
696.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7468
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95139
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164164
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22837
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245693
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300217
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49735
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84093
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5022
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9743
167.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11361
196.3 IPS |
