Mac15,12
Geekbench AI Score
6697
Single Precision Score
7786
Half Precision Score
7050
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tarynandor99 |
| Upload Date | December 20 2024 01:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
3939
732.5 IPS |
|
|
Image Classification (HP)
|
100% |
4192
779.6 IPS |
|
|
Image Classification (Q)
|
97% |
3553
663.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3814
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5270
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20009
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20546
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20352
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
4007
317.8 IPS |
|
|
Object Detection (HP)
|
100% |
4374
347.0 IPS |
|
|
Object Detection (Q)
|
91% |
3711
296.5 IPS |
|
|
Face Detection (SP)
|
100% |
10723
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
13056
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
9426
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16641
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18597
143.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15999
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44356
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49736
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
46714
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9685
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7481
276.2 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5175
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5206
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
782
13.5 IPS |
