iPhone 15 Pro Max
Geekbench AI Score
3749
Single Precision Score
5493
Half Precision Score
4757
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2074
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7949
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16537
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14279
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
2612
208.0 IPS |
|
|
Object Detection (Q)
|
94% |
1996
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6317
48.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
9678
74.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7308
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20661
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30689
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25951
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5241
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4516
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4447
76.9 IPS |
