iPhone 15 Pro Max
Geekbench AI Score
3748
Single Precision Score
6604
Half Precision Score
5398
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | applefanatic23 |
| Upload Date | December 30 2024 05:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1663
309.3 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.2 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7261
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
14803
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13056
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2305
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3687
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6537
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12817
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8741
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19236
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30214
38.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25806
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5583
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4229
156.1 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5924
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5878
101.6 IPS |
