Mac15,13
Geekbench AI Score
3955
Single Precision Score
6815
Half Precision Score
5474
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | January 29 2025 06:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.6 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17075
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14805
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.4 IPS |
|
|
Object Detection (HP)
|
97% |
3135
249.6 IPS |
|
|
Object Detection (Q)
|
94% |
2189
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3300
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6304
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13194
102.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9259
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33818
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28113
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5798
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5768
99.7 IPS |
