iPhone 13 Pro Max
Geekbench AI Score
3230
Single Precision Score
18801
Half Precision Score
20036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
7838
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
8159
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11847
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14229
230.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6199
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
83386
97.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
81952
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
10264
816.5 IPS |
|
|
Object Detection (Q)
|
91% |
11778
941.1 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
29054
345.2 IPS |
|
|
Face Detection (Q)
|
100% |
37228
442.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53834
414.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
65837
514.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17479
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
161049
207.0 IPS |
|
|
Style Transfer (Q)
|
96% |
138993
179.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29662
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28213
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1428
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6016
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6779
117.2 IPS |
