iPhone 15 Pro Max
Geekbench AI Score
4012
Single Precision Score
24035
Half Precision Score
33009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | February 12 2025 09:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
10445
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
14619
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15879
257.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20756
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8450
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
106380
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203471
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
13553
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18460
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33645
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
51120
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78239
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125507
981.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21723
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201448
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
244755
315.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33870
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56975
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2064
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6044
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7298
126.1 IPS |
