iPhone 15 Pro Max
Geekbench AI Score
3824
Single Precision Score
6715
Half Precision Score
5475
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 09 2024 04:33 AM |
| Views | 7 |
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% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (Q)
|
96% |
1997
372.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7347
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15228
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13320
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3339
265.8 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3759
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13192
102.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8911
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20186
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31547
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26368
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4457
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5987
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6016
104.0 IPS |
