iPhone 15 Pro Max
Geekbench AI Score
3881
Single Precision Score
6747
Half Precision Score
5510
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:13 AM |
| Views | 1 |
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% |
1710
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15814
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13860
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3742
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6881
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13169
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9093
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20633
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31991
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26964
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6008
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5980
103.3 IPS |
