Mac15,12
Geekbench AI Score
4132
Single Precision Score
7075
Half Precision Score
5711
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:03 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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2056
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8917
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17541
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15085
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3215
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12869
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9062
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34453
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28564
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6575
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6482
112.0 IPS |
