iPhone 11 Pro
Geekbench AI Score
934
Single Precision Score
1168
Half Precision Score
683
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
100% |
336
5.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1259
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2526
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
3521
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6160
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8548
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8582
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.8 IPS |
|
|
Text Classification (HP)
|
100% |
373
497.6 IPS |
|
|
Text Classification (Q)
|
93% |
371
498.0 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
98% |
278
4.80 IPS |
