Mac15,12
Geekbench AI Score
4134
Single Precision Score
6972
Half Precision Score
5623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | samuelljpg |
| Upload Date | December 31 2024 09:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8622
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17340
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15048
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22415
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33935
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28210
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5038
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4998
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5825
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
