iPhone 13 Pro Max
Geekbench AI Score
3052
Single Precision Score
3310
Half Precision Score
1193
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.7 IPS |
|
|
Image Classification (Q)
|
97% |
1371
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12142
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
10996
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.3 IPS |
|
|
Object Detection (Q)
|
92% |
1560
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
5860
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3747
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9085
70.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18404
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22976
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21423
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3943
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.8 IPS |
|
|
Text Classification (Q)
|
93% |
248
332.6 IPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.5 IPS |
