Mac15,13
Geekbench AI Score
4133
Single Precision Score
6964
Half Precision Score
5653
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hsuan |
| Upload Date | March 16 2025 10:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
96% |
2065
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17253
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14975
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
97% |
3262
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13571
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9399
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22240
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33972
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28426
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4388
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5149
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5117
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5767
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5732
99.1 IPS |
