iPhone 15 Pro Max
Geekbench AI Score
3934
Single Precision Score
6761
Half Precision Score
5912
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 15 2024 07:27 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
99% |
2899
540.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2383
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8070
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16417
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14294
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3325
264.7 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6680
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3775
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13391
103.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13335
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21123
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32288
41.5 IPS |
|
|
Style Transfer (Q)
|
100% |
32333
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4884
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4348
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5297
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5846
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6068
104.9 IPS |
