iPhone 15 Pro Max
Geekbench AI Score
3938
Single Precision Score
21310
Half Precision Score
27637
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | salo70 |
| Upload Date | August 15 2024 07:59 PM |
| Views | 9 |
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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
10980
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
12873
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10907
176.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10782
174.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7856
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
103023
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
198583
232.9 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
12924
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18769
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
21864
259.8 IPS |
|
|
Face Detection (Q)
|
100% |
36832
437.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7078
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
65477
504.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
73678
569.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20777
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138205
177.7 IPS |
|
|
Style Transfer (Q)
|
100% |
138361
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34340
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54107
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3278
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6176
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7547
130.4 IPS |
