iPhone 15 Pro Max
Geekbench AI Score
3915
Single Precision Score
6790
Half Precision Score
5561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8084
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16364
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14357
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6898
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13479
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9192
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21012
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31987
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26865
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4316
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5997
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6008
103.8 IPS |
