iPhone 15 Pro Max
Geekbench AI Score
4919
Single Precision Score
5802
Half Precision Score
5179
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | October 07 2024 05:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (Q)
|
97% |
1810
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3927
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4012
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15876
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14678
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (Q)
|
91% |
2302
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
6552
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
8806
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
6180
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11493
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12766
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10446
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29903
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35288
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32637
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6386
235.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6664
246.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
943
16.3 IPS |
