iPhone 15 Pro Max
Geekbench AI Score
3969
Single Precision Score
24730
Half Precision Score
34009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:21 PM |
| Views | 2 |
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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
10689
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
14835
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15593
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20945
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
106329
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204274
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
13871
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18855
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
35004
415.9 IPS |
|
|
Face Detection (Q)
|
100% |
50230
596.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77846
599.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127938
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21467
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205091
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
248325
320.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33800
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57886
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2605
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6206
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7188
124.2 IPS |
