Mac15,12
Geekbench AI Score
2546
Single Precision Score
4286
Half Precision Score
3444
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | j4lber |
| Upload Date | December 30 2024 09:07 PM |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
954
177.4 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.7 IPS |
|
|
Image Classification (Q)
|
96% |
1197
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1959
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
10431
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8996
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1120
88.8 IPS |
|
|
Object Detection (HP)
|
97% |
1956
155.7 IPS |
|
|
Object Detection (Q)
|
94% |
1394
111.1 IPS |
|
|
Face Detection (SP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
2319
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4337
33.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8205
63.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5598
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13355
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20426
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16862
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3288
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2674
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3218
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4230
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.3 IPS |
