Mac15,12
Geekbench AI Score
3917
Single Precision Score
5615
Half Precision Score
4625
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | electus |
| Upload Date | August 15 2024 08:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.8 IPS |
|
|
Image Classification (Q)
|
99% |
2229
415.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1495
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8479
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
17006
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14572
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
2580
205.4 IPS |
|
|
Object Detection (Q)
|
94% |
1978
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3297
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6753
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9800
75.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4700
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21592
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32106
41.3 IPS |
|
|
Style Transfer (Q)
|
100% |
32063
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6200
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4412
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4516
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4513
78.0 IPS |
