iPhone 16 Pro Max
Geekbench AI Score
5746
Single Precision Score
6629
Half Precision Score
5992
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 03:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.1 IPS |
|
|
Image Classification (Q)
|
97% |
2813
525.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4400
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4342
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15584
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16448
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15472
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (Q)
|
91% |
2820
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
7547
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
10628
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7044
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13173
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14227
109.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12497
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32675
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37384
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36364
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7972
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8320
307.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6725
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
