iPhone 13 Pro Max
Geekbench AI Score
3168
Single Precision Score
3357
Half Precision Score
1205
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (Q)
|
97% |
1408
262.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11072
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12080
14.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
10985
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (Q)
|
92% |
1539
122.9 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3779
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8430
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9101
70.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18471
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22664
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21406
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4743
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3950
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.7 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.7 IPS |
|
|
Text Classification (Q)
|
93% |
259
347.4 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1355
23.4 IPS |
