Mac15,13
Geekbench AI Score
4010
Single Precision Score
6939
Half Precision Score
5640
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 01:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.7 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8915
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17519
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15075
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6385
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
3825
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12793
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9044
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19506
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34021
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27684
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6163
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6216
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6323
109.3 IPS |
