iPhone 15 Pro Max
Geekbench AI Score
3967
Single Precision Score
21367
Half Precision Score
27425
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bkr899 |
| Upload Date | August 26 2024 07:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
10931
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
12957
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10839
175.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
11066
179.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8253
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
103261
120.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
199222
233.7 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
12904
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
18807
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
21740
258.3 IPS |
|
|
Face Detection (Q)
|
100% |
34615
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65093
501.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
73923
571.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21249
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
137629
176.9 IPS |
|
|
Style Transfer (Q)
|
100% |
136651
175.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35767
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55552
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3180
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7254
125.4 IPS |
