iPhone 15 Pro Max
Geekbench AI Score
2695
Single Precision Score
14016
Half Precision Score
15908
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | September 03 2024 04:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
6166
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6737
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5214
84.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5190
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7818
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
87765
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
131438
154.2 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
8207
651.0 IPS |
|
|
Object Detection (Q)
|
93% |
10000
797.9 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
11208
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
12734
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4570
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42247
325.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
48806
377.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12051
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
127739
164.2 IPS |
|
|
Style Transfer (Q)
|
100% |
128386
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18444
681.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25688
951.7 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (HP)
|
71% |
4498
6.47 KIPS |
|
|
Text Classification (Q)
|
69% |
4407
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2501
43.2 IPS |
