Mac15,13
Geekbench AI Score
4116
Single Precision Score
7084
Half Precision Score
5755
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2991
556.3 IPS |
|
|
Image Classification (Q)
|
96% |
2096
391.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17505
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15085
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3254
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12988
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9166
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22406
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34540
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28719
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6373
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
