Mac15,12
Geekbench AI Score
7274
Single Precision Score
7500
Half Precision Score
6768
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | electus |
| Upload Date | August 15 2024 08:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4190
779.3 IPS |
|
|
Image Classification (HP)
|
100% |
4427
823.2 IPS |
|
|
Image Classification (Q)
|
99% |
3922
731.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5873
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25148
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26897
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24782
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4282
339.6 IPS |
|
|
Object Detection (HP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (Q)
|
92% |
3696
295.0 IPS |
|
|
Face Detection (SP)
|
100% |
10894
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
14084
167.3 IPS |
|
|
Face Detection (Q)
|
100% |
9934
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18471
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20647
159.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
20472
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51243
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60545
77.8 IPS |
|
|
Style Transfer (Q)
|
100% |
60066
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10563
390.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11696
431.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9135
338.4 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (Q)
|
93% |
652
875.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1315
22.7 IPS |
