Mac15,13
Geekbench AI Score
4100
Single Precision Score
6971
Half Precision Score
5637
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | December 28 2024 06:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.6 IPS |
|
|
Image Classification (Q)
|
96% |
2081
388.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8571
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17328
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14964
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3278
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6687
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13652
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9392
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22264
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34142
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28420
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6049
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4913
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5791
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
