Mac15,12
Geekbench AI Score
4151
Single Precision Score
7008
Half Precision Score
5671
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | January 30 2025 06:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17316
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15039
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3951
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7216
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13525
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9357
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22437
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34024
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28294
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5176
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5881
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5919
102.3 IPS |
