Mac15,12
Geekbench AI Score
7643
Single Precision Score
9019
Half Precision Score
8187
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | November 04 2024 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
4359
810.6 IPS |
|
|
Image Classification (HP)
|
100% |
4689
872.0 IPS |
|
|
Image Classification (Q)
|
97% |
4062
758.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5989
97.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6308
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24985
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26651
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25385
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
4435
351.8 IPS |
|
|
Object Detection (HP)
|
100% |
4894
388.2 IPS |
|
|
Object Detection (Q)
|
91% |
4157
332.2 IPS |
|
|
Face Detection (SP)
|
100% |
11763
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
14908
177.1 IPS |
|
|
Face Detection (Q)
|
100% |
11020
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18740
144.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20630
158.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17561
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51995
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60551
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
56861
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11104
410.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11932
440.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9554
352.8 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5202
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
915
15.8 IPS |
