iPhone 15 Pro Max
Geekbench AI Score
3887
Single Precision Score
25763
Half Precision Score
36054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | May 07 2025 02:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
12542
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
15567
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16149
261.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21549
349.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7607
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
104574
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206340
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
13636
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18989
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
36628
435.2 IPS |
|
|
Face Detection (Q)
|
100% |
52638
625.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6836
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78486
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
128845
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20708
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207719
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
254651
328.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34672
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59238
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3621
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7624
131.8 IPS |
