iPhone 15 Pro Max
Geekbench AI Score
4944
Single Precision Score
5880
Half Precision Score
5286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 10 2024 05:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (Q)
|
97% |
1993
372.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3729
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13303
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14157
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13537
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (Q)
|
91% |
2288
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
6482
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8827
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6376
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11025
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11701
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10062
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27445
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33215
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31245
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4762
175.8 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1408
24.3 IPS |
