Mac15,12
Geekbench AI Score
4126
Single Precision Score
31373
Half Precision Score
35265
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | July 14 2025 01:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
17619
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
20249
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21752
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27199
440.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8887
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120940
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120949
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
18517
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20854
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39779
472.7 IPS |
|
|
Face Detection (Q)
|
100% |
52169
619.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98747
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124187
971.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22415
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
229849
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
221110
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48047
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57644
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4793
82.8 IPS |
