iPhone 15 Pro Max
Geekbench AI Score
2785
Single Precision Score
13897
Half Precision Score
18330
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
6211
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9938
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
87516
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
152323
178.5 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
8191
649.7 IPS |
|
|
Object Detection (Q)
|
93% |
9803
782.2 IPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
11113
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
14213
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4816
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42653
328.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
58766
459.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12590
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
127706
164.2 IPS |
|
|
Style Transfer (Q)
|
96% |
137645
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18461
681.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25840
954.1 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
3970
5.71 KIPS |
|
|
Text Classification (Q)
|
69% |
4994
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2577
44.5 IPS |
