Mac15,12
Geekbench AI Score
6716
Single Precision Score
7822
Half Precision Score
7011
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3866
719.0 IPS |
|
|
Image Classification (HP)
|
100% |
4070
756.9 IPS |
|
|
Image Classification (Q)
|
97% |
3500
653.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4032
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5193
84.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5277
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20319
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21405
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20473
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3913
310.3 IPS |
|
|
Object Detection (HP)
|
100% |
4342
344.4 IPS |
|
|
Object Detection (Q)
|
91% |
3695
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
10888
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
13121
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
9472
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16909
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18685
144.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
16043
125.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44338
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49810
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
46931
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8961
330.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9687
357.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7689
283.9 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
753
13.0 IPS |
