iPhone 16 Pro Max
Geekbench AI Score
4482
Single Precision Score
33043
Half Precision Score
46933
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | January 13 2025 10:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21285
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24184
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8586
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151816
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294267
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
16309
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22656
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41107
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
59537
707.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95859
738.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161807
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246209
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
307519
396.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51021
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86481
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4733
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9480
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11519
199.1 IPS |
