Mac15,12
Geekbench AI Score
7440
Single Precision Score
8984
Half Precision Score
8100
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | astoHu1 |
| Upload Date | November 14 2024 09:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
4252
790.8 IPS |
|
|
Image Classification (HP)
|
100% |
4584
852.5 IPS |
|
|
Image Classification (Q)
|
97% |
3932
733.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5949
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6300
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24663
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26574
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25272
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4237
336.1 IPS |
|
|
Object Detection (HP)
|
100% |
4829
383.0 IPS |
|
|
Object Detection (Q)
|
91% |
4091
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
11687
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
14786
175.7 IPS |
|
|
Face Detection (Q)
|
100% |
10823
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18548
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20390
157.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17596
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51591
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60107
77.3 IPS |
|
|
Style Transfer (Q)
|
96% |
56540
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10945
404.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11603
428.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9365
345.8 IPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
