Mac15,12
Geekbench AI Score
4120
Single Precision Score
6992
Half Precision Score
5638
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RAalshehri |
| Upload Date | April 09 2025 08:16 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8624
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17327
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15020
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
97% |
3225
256.7 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6661
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13508
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9339
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22291
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33917
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28206
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6108
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4425
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5288
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5876
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5785
100.0 IPS |
