iPhone 15 Pro Max
Geekbench AI Score
3781
Single Precision Score
6629
Half Precision Score
5778
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 19 2024 05:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1677
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
99% |
2918
544.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2354
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14949
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12972
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2271
181.0 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6417
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
3625
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6593
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13091
101.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12953
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19672
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30926
39.8 IPS |
|
|
Style Transfer (Q)
|
100% |
31087
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4162
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6014
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5981
103.4 IPS |
