iPhone 15 Pro Max
Geekbench AI Score
3965
Single Precision Score
24911
Half Precision Score
34443
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 10 2024 05:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11027
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15622
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15822
256.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20894
338.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8223
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
106236
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204116
239.2 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
13867
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18817
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
34622
411.4 IPS |
|
|
Face Detection (Q)
|
100% |
51078
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7066
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78500
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129290
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21242
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201296
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247664
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33960
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62321
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7739
133.7 IPS |
