Mac15,12
Geekbench AI Score
3845
Single Precision Score
5497
Half Precision Score
4562
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | thoughtsimple |
| Upload Date | August 15 2024 05:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
2158
401.4 IPS |
|
|
Image Classification (Q)
|
99% |
2135
398.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1443
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16564
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14253
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
2518
200.5 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
4999
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
3227
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6647
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9648
74.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5009
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20815
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31135
40.0 IPS |
|
|
Style Transfer (Q)
|
100% |
31151
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5970
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4277
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4540
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4514
78.0 IPS |
