iPhone 15 Pro Max
Geekbench AI Score
3803
Single Precision Score
6724
Half Precision Score
5472
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.3 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7597
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15440
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13566
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6503
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3711
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6743
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13049
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8930
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20042
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31244
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26478
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6010
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5988
103.5 IPS |
