Mac15,13
Geekbench AI Score
4019
Single Precision Score
6794
Half Precision Score
5543
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 09 2025 07:31 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.68 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
2867
533.1 IPS |
|
|
Image Classification (Q)
|
96% |
1998
373.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3201
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16640
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14591
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3135
249.6 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3811
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6941
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13271
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9178
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21567
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32652
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27457
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5916
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4328
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5288
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5870
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
