iPhone 15
Geekbench AI Score
3378
Single Precision Score
19871
Half Precision Score
21819
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LWD |
| Upload Date | September 17 2024 12:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
10636
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
12775
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11949
193.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13905
225.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
97776
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102452
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12978
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14978
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31566
375.1 IPS |
|
|
Face Detection (Q)
|
100% |
38610
458.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
76167
586.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
94974
742.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17009
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
172202
221.4 IPS |
|
|
Style Transfer (Q)
|
96% |
175251
226.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32571
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37011
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2182
37.7 IPS |
