iPhone 16 Pro Max
Geekbench AI Score
5787
Single Precision Score
6728
Half Precision Score
6137
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | February 05 2025 02:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2891
537.5 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.6 IPS |
|
|
Image Classification (Q)
|
97% |
2832
528.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4431
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4403
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15745
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16518
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15661
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (Q)
|
91% |
3105
248.1 IPS |
|
|
Face Detection (SP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10760
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7152
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13471
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14476
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12551
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33001
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39592
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37013
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8075
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8432
311.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6848
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
