iPhone 15 Pro Max
Geekbench AI Score
3983
Single Precision Score
24821
Half Precision Score
33811
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 09:17 AM |
| Views | 1 |
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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
11421
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
14991
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15659
253.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21110
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8221
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
105921
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
202198
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
13601
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18865
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
33770
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
50127
595.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78502
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128516
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21646
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204231
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
244804
315.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33579
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57788
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6562
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7400
127.9 IPS |
