Mac15,12
Geekbench AI Score
4130
Single Precision Score
31233
Half Precision Score
35343
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:45 AM |
| Views | 3 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
17754
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
20533
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21765
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27210
441.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8957
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121300
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121437
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
18546
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20948
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
37134
441.2 IPS |
|
|
Face Detection (Q)
|
100% |
52308
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98802
761.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124283
971.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22431
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230073
295.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219741
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48392
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58064
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4795
82.9 IPS |
