iPhone 16 Pro Max
Geekbench AI Score
4543
Single Precision Score
33128
Half Precision Score
45595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:29 AM |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15011
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19617
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18313
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24192
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8878
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153559
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294264
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
16236
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22623
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41238
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58471
694.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96205
741.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160854
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24106
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246800
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303102
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51732
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84286
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4452
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10049
173.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11490
198.6 IPS |
