Mac15,12
Geekbench AI Score
4129
Single Precision Score
7057
Half Precision Score
5707
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2049
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2907
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8970
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17525
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15081
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12863
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9052
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22472
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34464
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28583
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6563
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6482
112.0 IPS |
