iPhone 15 Pro Max
Geekbench AI Score
4897
Single Precision Score
5799
Half Precision Score
4411
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 19 2024 05:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1826
339.7 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.7 IPS |
|
|
Image Classification (Q)
|
99% |
2044
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15869
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14411
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (Q)
|
91% |
2244
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
6491
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8848
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
6272
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11331
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12559
96.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1837
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29641
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34832
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35257
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6279
231.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6690
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5109
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
