iPhone 13 Pro Max
Geekbench AI Score
3253
Single Precision Score
19944
Half Precision Score
22228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:18 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
9282
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10127
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12171
197.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14113
228.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
88866
103.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94299
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
10701
851.2 IPS |
|
|
Object Detection (Q)
|
91% |
12111
967.7 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
29258
347.6 IPS |
|
|
Face Detection (Q)
|
100% |
34688
412.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5450
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55087
424.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
69997
547.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17487
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
161136
207.1 IPS |
|
|
Style Transfer (Q)
|
96% |
159643
206.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27340
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31769
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6252
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7077
122.3 IPS |
