Mac15,12
Geekbench AI Score
3966
Single Precision Score
5677
Half Precision Score
4720
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tangreg99 |
| Upload Date | September 02 2024 09:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
1685
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (Q)
|
99% |
2262
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1563
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8480
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
17079
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14636
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
97% |
2638
210.0 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6806
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10030
77.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5185
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32401
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32423
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6062
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4380
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4635
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4560
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4567
78.9 IPS |
