Mac15,12
Geekbench AI Score
4140
Single Precision Score
30970
Half Precision Score
34631
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tarynandor99 |
| Upload Date | December 20 2024 01:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
17443
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20263
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20942
339.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25270
409.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8576
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122484
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121470
142.4 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
18485
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20789
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
38949
462.8 IPS |
|
|
Face Detection (Q)
|
100% |
50104
595.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99194
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125211
979.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22465
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230649
296.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220736
284.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47779
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57195
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4690
81.0 IPS |
