Mac15,12
Geekbench AI Score
4157
Single Precision Score
30736
Half Precision Score
34379
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | August 15 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
15707
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
18039
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22278
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27454
445.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8868
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120739
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120627
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
17431
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20355
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39528
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
51473
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97293
749.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121615
950.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22431
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
227527
292.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220133
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48226
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55076
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5314
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
