iPhone 15 Pro Max
Geekbench AI Score
3831
Single Precision Score
6688
Half Precision Score
5486
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 15 2024 05:09 AM |
| Views | 7 |
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% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.5 IPS |
|
|
Image Classification (Q)
|
96% |
2001
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7384
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
15317
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13396
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2308
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3781
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6808
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12974
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9030
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20178
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31498
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26677
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5751
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5969
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
