iPhone 15 Pro Max
Geekbench AI Score
3809
Single Precision Score
6677
Half Precision Score
5451
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:21 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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3021
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7796
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15789
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13723
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2278
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6276
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
3648
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6734
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13107
101.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8938
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20165
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31717
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26732
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4297
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
