Mac15,12
Geekbench AI Score
4144
Single Precision Score
30453
Half Precision Score
34141
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
16579
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
19876
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20867
338.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25634
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8731
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121811
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120904
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
18327
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20701
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
38287
454.9 IPS |
|
|
Face Detection (Q)
|
100% |
46256
549.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97735
753.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123879
968.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22453
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228777
294.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220822
285.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47124
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56183
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4985
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4927
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4818
83.3 IPS |
