iPhone 16 Pro Max
Geekbench AI Score
5807
Single Precision Score
6438
Half Precision Score
6164
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | January 19 2025 02:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3065
570.0 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (Q)
|
97% |
2900
541.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4405
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4403
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15660
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16434
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15697
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3339
264.8 IPS |
|
|
Object Detection (HP)
|
100% |
3444
273.2 IPS |
|
|
Object Detection (Q)
|
91% |
2875
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
7992
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
11047
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
7716
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14020
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15254
117.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13183
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32292
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37965
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36957
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7994
295.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8386
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6805
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
