iPhone 15 Pro Max
Geekbench AI Score
3653
Single Precision Score
20566
Half Precision Score
25672
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | karen_he |
| Upload Date | August 15 2024 07:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1531
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
11091
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
13340
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11043
179.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
11401
184.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7296
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
99103
115.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
199149
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
13099
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
19136
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
21782
258.8 IPS |
|
|
Face Detection (Q)
|
100% |
35337
419.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6638
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63911
492.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
74641
577.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19105
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
137736
177.1 IPS |
|
|
Style Transfer (Q)
|
100% |
137234
176.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4518
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36417
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49681
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6127
105.9 IPS |
