iPhone 15 Pro Max
Geekbench AI Score
4931
Single Precision Score
5745
Half Precision Score
4352
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:12 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.0 IPS |
|
|
Image Classification (Q)
|
99% |
1816
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3978
64.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15040
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15884
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14474
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (Q)
|
91% |
2225
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
6451
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
8848
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
6182
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11508
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12898
99.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1837
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29528
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34683
44.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35752
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6287
232.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6419
237.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5168
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
