Mac15,12
Geekbench AI Score
4153
Single Precision Score
7014
Half Precision Score
5669
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | riddhick14 |
| Upload Date | February 10 2025 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8650
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17359
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15048
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6803
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3950
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13592
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9348
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22442
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34052
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28234
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4446
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5264
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5893
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5877
101.6 IPS |
