iPhone 16 Pro Max
Geekbench AI Score
4465
Single Precision Score
33325
Half Precision Score
45716
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 03:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
15611
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21362
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18314
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24151
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
147877
172.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290866
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
16157
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22508
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58194
691.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7894
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94905
731.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159519
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18525
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245306
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304012
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50180
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84103
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4544
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9995
172.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10948
189.2 IPS |
