Mac15,13
Geekbench AI Score
4081
Single Precision Score
6942
Half Precision Score
5613
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 07 2025 07:13 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8467
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17241
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14974
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
97% |
3234
257.5 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6484
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7105
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13496
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9336
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22236
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33949
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28184
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4449
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5223
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5183
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5755
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5778
99.8 IPS |
