iPhone 15 Pro Max
Geekbench AI Score
2404
Single Precision Score
13505
Half Precision Score
15863
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
6360
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
3012
562.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5320
86.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10086
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
84343
98.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
150340
176.2 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
8414
667.4 IPS |
|
|
Object Detection (Q)
|
93% |
9536
760.9 IPS |
|
|
Face Detection (SP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
11290
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3397
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38369
295.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
55214
431.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11419
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
127569
164.0 IPS |
|
|
Style Transfer (Q)
|
96% |
136961
176.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18347
677.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26123
964.6 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
4012
5.77 KIPS |
|
|
Text Classification (Q)
|
69% |
4228
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2457
42.5 IPS |
