iPhone 15 Pro Max
Geekbench AI Score
4955
Single Precision Score
5882
Half Precision Score
5267
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 05:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (Q)
|
97% |
2085
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3700
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3723
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13111
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13880
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13073
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2384
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
6252
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
5936
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10876
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11730
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10172
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27394
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31990
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30371
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1349
23.3 IPS |
