Mac15,12
Geekbench AI Score
4124
Single Precision Score
7069
Half Precision Score
5716
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:01 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2074
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17524
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15090
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3215
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12846
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9065
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34487
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28577
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6533
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6458
111.6 IPS |
