Mac15,12
Geekbench AI Score
4140
Single Precision Score
30552
Half Precision Score
34191
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Selder |
| Upload Date | December 28 2024 08:17 AM |
| Views | 2 |
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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
17304
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
20146
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20938
339.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25622
415.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8589
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122383
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121138
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
18372
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20326
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
36304
431.4 IPS |
|
|
Face Detection (Q)
|
100% |
45435
539.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97122
748.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124797
975.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22394
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230043
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221578
285.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47594
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57288
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5065
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5107
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4674
80.8 IPS |
