iPhone 13 Pro Max
Geekbench AI Score
3781
Single Precision Score
4252
Half Precision Score
3731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 06:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (HP)
|
100% |
1616
300.6 IPS |
|
|
Image Classification (Q)
|
97% |
1488
277.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11249
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12213
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11396
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1917
152.1 IPS |
|
|
Object Detection (HP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (Q)
|
91% |
1625
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
5860
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
4011
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9007
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7317
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18827
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23316
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21647
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
