Mac15,13
Geekbench AI Score
3644
Single Precision Score
5257
Half Precision Score
4321
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 04 2024 09:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
99% |
2023
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1380
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7780
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
16171
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13843
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
2465
196.3 IPS |
|
|
Object Detection (Q)
|
94% |
1898
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2991
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6280
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9094
70.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4401
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19302
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29947
38.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29819
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4061
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4710
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4180
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4125
71.3 IPS |
