iPhone 15 Pro Max
Geekbench AI Score
3833
Single Precision Score
6701
Half Precision Score
5472
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2995
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7635
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15643
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13551
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
3240
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
3719
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13118
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8985
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20236
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31295
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26305
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4691
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4298
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
