Mac15,12
Geekbench AI Score
7668
Single Precision Score
8812
Half Precision Score
8129
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | April 27 2025 03:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
3984
741.0 IPS |
|
|
Image Classification (HP)
|
100% |
4188
778.9 IPS |
|
|
Image Classification (Q)
|
96% |
3880
724.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5574
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5864
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5700
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20380
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21477
25.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
20973
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3956
313.8 IPS |
|
|
Object Detection (HP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (Q)
|
92% |
4029
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
10995
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
13157
156.3 IPS |
|
|
Face Detection (Q)
|
100% |
10812
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17296
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18846
145.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17274
135.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45056
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50032
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
48519
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9143
337.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9810
362.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8482
313.2 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1624
28.1 IPS |
