iPhone 13 Pro Max
Geekbench AI Score
3283
Single Precision Score
18478
Half Precision Score
21633
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 05:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
7910
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9315
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11981
194.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12931
209.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
86034
100.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93341
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.9 IPS |
|
|
Object Detection (HP)
|
99% |
10376
825.4 IPS |
|
|
Object Detection (Q)
|
91% |
11586
925.7 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28814
342.4 IPS |
|
|
Face Detection (Q)
|
100% |
35445
421.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52755
406.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
72675
567.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17866
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152869
196.5 IPS |
|
|
Style Transfer (Q)
|
96% |
152371
196.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27195
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27225
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2293
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7036
121.6 IPS |
