iPhone 15 Pro Max
Geekbench AI Score
4023
Single Precision Score
21462
Half Precision Score
26993
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | August 31 2024 11:38 PM |
| Views | 8 |
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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
11110
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
12807
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11002
178.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10883
176.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8432
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
104239
121.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
198732
233.1 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
12817
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
20187
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
21705
257.9 IPS |
|
|
Face Detection (Q)
|
100% |
34334
408.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7273
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64513
497.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
73958
571.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21649
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
138569
178.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138129
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34033
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55657
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2604
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6397
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7226
124.9 IPS |
