Mac15,12
Geekbench AI Score
6762
Single Precision Score
7953
Half Precision Score
7099
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | riddhick14 |
| Upload Date | February 10 2025 09:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3957
735.9 IPS |
|
|
Image Classification (HP)
|
100% |
4190
779.1 IPS |
|
|
Image Classification (Q)
|
97% |
3582
668.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5216
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5282
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20342
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21431
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20476
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4055
321.7 IPS |
|
|
Object Detection (HP)
|
100% |
4376
347.1 IPS |
|
|
Object Detection (Q)
|
91% |
3722
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
10838
128.8 IPS |
|
|
Face Detection (HP)
|
100% |
13086
155.5 IPS |
|
|
Face Detection (Q)
|
100% |
9447
112.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16958
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18733
144.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
16151
126.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44444
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49883
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46950
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9122
336.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9782
361.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7751
286.2 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5239
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
773
13.4 IPS |
