Mac15,12
Geekbench AI Score
6771
Single Precision Score
7933
Half Precision Score
7092
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jrondorf |
| Upload Date | April 07 2025 03:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3907
726.5 IPS |
|
|
Image Classification (HP)
|
100% |
4193
779.8 IPS |
|
|
Image Classification (Q)
|
97% |
3604
672.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5222
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5287
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20296
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21437
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20496
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4048
321.1 IPS |
|
|
Object Detection (HP)
|
100% |
4378
347.3 IPS |
|
|
Object Detection (Q)
|
91% |
3726
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
10979
130.5 IPS |
|
|
Face Detection (HP)
|
100% |
13135
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
9503
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16887
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18705
144.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16090
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44291
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49880
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46955
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9143
337.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9721
359.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7753
286.3 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5264
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
755
13.0 IPS |
