iPhone 16 Pro Max
Geekbench AI Score
4433
Single Precision Score
32821
Half Precision Score
45947
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
15486
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20854
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18122
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23810
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8241
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
152587
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291799
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22397
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
41115
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
57324
681.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7611
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95818
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164275
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23278
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244727
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303840
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51323
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83919
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4599
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9164
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11281
194.9 IPS |
