iPhone 15 Pro Max
Geekbench AI Score
4924
Single Precision Score
5944
Half Precision Score
5342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 06:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2224
413.6 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.8 IPS |
|
|
Image Classification (Q)
|
97% |
2061
384.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13206
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14103
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13220
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2875
228.1 IPS |
|
|
Object Detection (Q)
|
91% |
2349
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
8548
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
6177
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10879
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11758
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10365
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26946
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32259
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30236
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6207
229.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5251
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1415
24.5 IPS |
