Mac15,13
Geekbench AI Score
7562
Single Precision Score
8970
Half Precision Score
8117
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hsuan |
| Upload Date | March 16 2025 10:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4312
801.9 IPS |
|
|
Image Classification (HP)
|
100% |
4699
873.9 IPS |
|
|
Image Classification (Q)
|
97% |
4034
752.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4339
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6017
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6376
103.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24994
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26619
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25350
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4420
350.6 IPS |
|
|
Object Detection (HP)
|
100% |
4888
387.7 IPS |
|
|
Object Detection (Q)
|
91% |
4139
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
11817
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
15015
178.4 IPS |
|
|
Face Detection (Q)
|
100% |
10938
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18742
144.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20797
160.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17798
139.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50777
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60649
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
56908
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11069
408.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12053
445.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9578
353.7 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
840
14.5 IPS |
