iPhone 13 Pro Max
Geekbench AI Score
3237
Single Precision Score
16857
Half Precision Score
18418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
8789
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
10027
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6785
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7718
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
90745
105.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94330
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
99% |
11109
883.7 IPS |
|
|
Object Detection (Q)
|
91% |
11667
932.3 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
25648
304.8 IPS |
|
|
Face Detection (Q)
|
100% |
32667
388.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54802
422.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
73029
570.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17352
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154167
198.2 IPS |
|
|
Style Transfer (Q)
|
96% |
151752
195.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26441
976.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28533
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2340
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2182
37.7 IPS |
