iPhone 16 Pro Max
Geekbench AI Score
4318
Single Precision Score
32686
Half Precision Score
45976
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:10 AM |
| Views | 5 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
15162
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20268
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18242
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24152
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
144925
169.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291816
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
16379
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22438
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
41202
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57948
688.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7223
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94769
730.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163049
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244559
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302251
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49815
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83276
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9587
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11264
194.6 IPS |
