iPhone 13 Pro Max
Geekbench AI Score
3299
Single Precision Score
16316
Half Precision Score
18428
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:40 PM |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
8227
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
9759
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7479
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7629
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
85202
99.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93693
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
10478
833.5 IPS |
|
|
Object Detection (Q)
|
91% |
12277
981.0 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
26198
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
35517
422.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51320
395.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74118
579.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17806
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156813
201.6 IPS |
|
|
Style Transfer (Q)
|
96% |
152921
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27145
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28822
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2021
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2250
38.9 IPS |
