Mac15,12
Geekbench AI Score
2497
Single Precision Score
13770
Half Precision Score
15684
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | September 18 2024 11:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
7668
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
8074
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6632
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12756
206.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
103126
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103971
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
10010
794.0 IPS |
|
|
Object Detection (Q)
|
93% |
10803
862.0 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
13998
166.3 IPS |
|
|
Face Detection (Q)
|
100% |
15411
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4797
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59214
456.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
72402
566.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12621
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
154829
199.0 IPS |
|
|
Style Transfer (Q)
|
96% |
142228
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21318
787.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26687
985.4 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.0 IPS |
|
|
Text Classification (HP)
|
100% |
614
819.1 IPS |
|
|
Text Classification (Q)
|
93% |
666
894.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2762
47.7 IPS |
