iPhone 15 Pro Max
Geekbench AI Score
3420
Single Precision Score
23126
Half Precision Score
32193
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Aniev73 |
| Upload Date | October 06 2024 05:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
11346
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15727
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15085
244.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20834
337.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
101260
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
201222
235.8 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
13598
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18474
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
35194
418.2 IPS |
|
|
Face Detection (Q)
|
100% |
50393
598.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6631
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79227
610.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122541
958.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17736
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
177388
228.0 IPS |
|
|
Style Transfer (Q)
|
96% |
232401
299.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29894
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48310
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6758
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7654
132.3 IPS |
