iPhone 16 Pro Max
Geekbench AI Score
4570
Single Precision Score
32943
Half Precision Score
46066
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:20 PM |
| Views | 3 |
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% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
15131
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20200
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23963
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
155193
181.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294138
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16272
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22354
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41242
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58168
691.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95238
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160370
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24466
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246202
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302167
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50707
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87028
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4834
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9284
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11404
197.1 IPS |
