iPhone 15 Pro Max
Geekbench AI Score
4996
Single Precision Score
6063
Half Precision Score
5363
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 09:18 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2116
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (Q)
|
97% |
2083
388.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3933
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4106
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16106
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14771
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (Q)
|
91% |
2375
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
6351
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
9164
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6211
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11431
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13109
101.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10430
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30114
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35716
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32097
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6373
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5711
210.9 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
