iPhone 15 Pro Max
Geekbench AI Score
3848
Single Precision Score
6717
Half Precision Score
5474
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | September 19 2024 06:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.8 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2994
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7526
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15516
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13487
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
3275
260.7 IPS |
|
|
Object Detection (Q)
|
94% |
2306
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13116
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8987
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20207
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31358
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26527
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6274
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6040
104.4 IPS |
