Mac15,13
Geekbench AI Score
4032
Single Precision Score
6881
Half Precision Score
5565
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | January 11 2025 09:38 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8841
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14998
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6526
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13527
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9324
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22273
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33982
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28171
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6154
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5104
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5293
91.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5380
93.0 IPS |
