iPhone 15 Pro Max
Geekbench AI Score
3974
Single Precision Score
6916
Half Precision Score
5610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | January 06 2025 12:45 AM |
| Views | 2 |
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% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.3 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8158
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16746
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14369
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
97% |
3341
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7050
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13521
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9343
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21429
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32595
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27753
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4290
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5755
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6109
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5997
103.6 IPS |
