iPhone 13 Pro Max
Geekbench AI Score
3032
Single Precision Score
3303
Half Precision Score
1197
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 14 2024 07:08 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.7 IPS |
|
|
Image Classification (Q)
|
97% |
1403
261.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10616
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11853
13.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
11010
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1938
153.8 IPS |
|
|
Object Detection (Q)
|
92% |
1574
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
6076
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3807
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8873
68.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17317
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21593
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21660
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3949
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.8 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.4 IPS |
|
|
Text Classification (Q)
|
93% |
243
325.8 IPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
