iPhone 15 Pro Max
Geekbench AI Score
3592
Single Precision Score
5349
Half Precision Score
4466
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bkr899 |
| Upload Date | August 15 2024 07:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (Q)
|
99% |
2186
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1315
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15305
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13213
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
2508
199.7 IPS |
|
|
Object Detection (Q)
|
94% |
1955
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3077
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9420
72.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4791
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19122
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29542
38.0 IPS |
|
|
Style Transfer (Q)
|
100% |
29622
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4269
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5226
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4476
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4447
76.8 IPS |
