Mac15,13
Geekbench AI Score
4169
Single Precision Score
7045
Half Precision Score
5688
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fabianosf |
| Upload Date | December 09 2024 12:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
96% |
2072
386.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8905
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17400
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13626
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9408
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22553
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34071
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28352
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4438
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5258
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5867
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
