iPhone 16 Pro Max
Geekbench AI Score
4670
Single Precision Score
32918
Half Precision Score
45139
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 01:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
15008
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19747
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18202
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24042
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9464
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152739
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292209
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
16076
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22045
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
59058
701.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95900
738.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162341
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20599
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245916
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303143
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50731
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83793
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4380
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9950
171.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10765
186.0 IPS |
