iPhone 16 Pro Max
Geekbench AI Score
4596
Single Precision Score
33311
Half Precision Score
46844
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 08 2025 03:09 PM |
| Views | 1 |
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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15547
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21104
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18314
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24249
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154844
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295183
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2181
173.0 IPS |
|
|
Object Detection (HP)
|
100% |
16438
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22743
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41328
491.1 IPS |
|
|
Face Detection (Q)
|
100% |
59815
710.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96056
740.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163368
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24107
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245700
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
305637
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52811
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86676
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9548
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11828
204.4 IPS |
