Mac15,12
Geekbench AI Score
4157
Single Precision Score
7010
Half Precision Score
5677
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | November 20 2024 03:21 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1554
289.0 IPS |
|
|
Image Classification (HP)
|
100% |
2936
545.9 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17340
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15007
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3948
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13743
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9414
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22504
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34158
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28489
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5778
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5877
101.6 IPS |
