iPhone 15 Pro Max
Geekbench AI Score
2437
Single Precision Score
13885
Half Precision Score
17893
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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
6264
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
7489
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5244
85.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10025
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7449
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
87573
102.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
151905
178.0 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
8188
649.5 IPS |
|
|
Object Detection (Q)
|
93% |
9988
797.0 IPS |
|
|
Face Detection (SP)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
11125
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
13185
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45847
353.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
68412
534.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11215
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
131740
169.4 IPS |
|
|
Style Transfer (Q)
|
96% |
133111
171.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18547
684.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25921
957.1 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
71% |
4957
7.13 KIPS |
|
|
Text Classification (Q)
|
69% |
5024
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1889
32.6 IPS |
