Mac15,13
Geekbench AI Score
4153
Single Precision Score
7001
Half Precision Score
5685
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 06 2024 09:19 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2088
389.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8909
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17290
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15007
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2385
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7240
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13591
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9397
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22405
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34108
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28409
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5126
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5260
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5851
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5842
101.0 IPS |
