iPhone 15 Pro Max
Geekbench AI Score
3932
Single Precision Score
25932
Half Precision Score
36189
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 04:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
11839
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
16498
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15433
250.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20953
339.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
107123
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205000
240.3 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13805
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18670
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34069
404.8 IPS |
|
|
Face Detection (Q)
|
100% |
51260
609.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6902
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80224
618.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
131418
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
20064
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203225
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
250499
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36209
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61171
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3473
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6931
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8124
140.4 IPS |
