iPhone 15 Pro Max
Geekbench AI Score
3960
Single Precision Score
21509
Half Precision Score
27268
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 15 2024 07:16 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
11208
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
12622
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10778
174.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
10817
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8230
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
102778
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
197842
232.1 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
12699
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
18386
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
21759
258.5 IPS |
|
|
Face Detection (Q)
|
100% |
34810
413.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7149
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64273
495.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
73902
571.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21336
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
137689
177.0 IPS |
|
|
Style Transfer (Q)
|
100% |
138058
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34859
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54863
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3194
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6134
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7353
127.1 IPS |
