Mac15,12
Geekbench AI Score
2471
Single Precision Score
4335
Half Precision Score
3480
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 11:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (Q)
|
96% |
1199
223.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1908
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5048
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
10579
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9078
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1043
82.7 IPS |
|
|
Object Detection (HP)
|
97% |
1927
153.4 IPS |
|
|
Object Detection (Q)
|
94% |
1391
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2350
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4281
33.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7804
60.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
5446
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13163
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20166
25.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16679
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2685
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3480
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4564
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.2 IPS |
