Mac15,12
Geekbench AI Score
4082
Single Precision Score
31525
Half Precision Score
35383
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 29 2025 10:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
17617
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
20391
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21970
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27159
440.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8782
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122168
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120880
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
18689
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20887
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39952
474.7 IPS |
|
|
Face Detection (Q)
|
100% |
52048
618.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98596
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124590
974.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22350
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229454
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221907
286.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5209
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48858
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59125
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4802
83.0 IPS |
