Mac15,12
Geekbench AI Score
8878
Single Precision Score
10276
Half Precision Score
9161
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4337
806.6 IPS |
|
|
Image Classification (HP)
|
100% |
4707
875.4 IPS |
|
|
Image Classification (Q)
|
96% |
4388
819.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6538
106.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7002
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6752
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25182
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26223
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25939
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
4939
391.8 IPS |
|
|
Object Detection (Q)
|
92% |
4481
357.7 IPS |
|
|
Face Detection (SP)
|
100% |
11808
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
15444
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
12333
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19083
147.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20217
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18709
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52414
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59675
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58282
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11216
414.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9568
353.3 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5370
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1751
30.3 IPS |
