Mac15,12
Geekbench AI Score
6516
Single Precision Score
7414
Half Precision Score
6936
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sabotage |
| Upload Date | August 27 2024 03:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4241
788.7 IPS |
|
|
Image Classification (HP)
|
100% |
4443
826.2 IPS |
|
|
Image Classification (Q)
|
99% |
3975
741.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4339
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5951
96.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5848
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25000
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26877
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24723
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4221
334.8 IPS |
|
|
Object Detection (HP)
|
100% |
4670
370.5 IPS |
|
|
Object Detection (Q)
|
92% |
3675
293.4 IPS |
|
|
Face Detection (SP)
|
100% |
10787
128.2 IPS |
|
|
Face Detection (HP)
|
100% |
14124
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
10048
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18256
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20651
159.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
20510
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51199
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60569
77.9 IPS |
|
|
Style Transfer (Q)
|
100% |
60066
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10621
392.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11666
430.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9114
337.7 IPS |
|
|
Text Classification (SP)
|
100% |
597
796.6 IPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
93% |
732
982.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
