iPhone 13
Geekbench AI Score
2698
Single Precision Score
4452
Half Precision Score
3907
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.4 IPS |
|
|
Image Classification (Q)
|
96% |
1582
295.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2256
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4850
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
11212
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9700
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2510
199.9 IPS |
|
|
Object Detection (Q)
|
94% |
1756
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
2757
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4630
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9750
75.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6621
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12164
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14183
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17028
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2975
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3423
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3558
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4312
74.5 IPS |
