iPhone 15 Pro Max
Geekbench AI Score
3708
Single Precision Score
6637
Half Precision Score
5371
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:40 AM |
| Views | 1 |
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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2878
535.3 IPS |
|
|
Image Classification (Q)
|
96% |
1978
369.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2917
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7032
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14634
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12659
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
97% |
3124
248.7 IPS |
|
|
Object Detection (Q)
|
94% |
2263
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6327
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3603
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6539
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12745
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8690
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19392
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31705
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26450
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5927
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5928
102.4 IPS |
