iPhone 15
Geekbench AI Score
3264
Single Precision Score
3549
Half Precision Score
3174
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 07:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (Q)
|
97% |
644
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11836
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12385
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11481
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
91% |
1643
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
4131
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8262
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8592
66.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7268
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21520
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23421
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21876
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3220
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4577
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
98% |
361
6.23 IPS |
