iPhone 15 Pro Max
Geekbench AI Score
3961
Single Precision Score
21451
Half Precision Score
27578
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 16 2024 12:57 AM |
| Views | 4 |
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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
10587
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
12718
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10932
177.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10951
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8152
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
102338
119.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
200108
234.7 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
13110
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18898
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
21813
259.2 IPS |
|
|
Face Detection (Q)
|
100% |
35352
420.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7078
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64443
496.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
74418
575.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21142
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138548
178.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138139
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34227
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55079
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3281
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6174
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
