Mac15,12
Geekbench AI Score
3798
Single Precision Score
28968
Half Precision Score
32005
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 28 2025 09:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
15736
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
18254
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20813
337.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25417
412.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
121738
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121322
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
17903
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20218
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
38436
456.7 IPS |
|
|
Face Detection (Q)
|
100% |
45989
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6928
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96856
746.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121769
952.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21894
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
225296
289.6 IPS |
|
|
Style Transfer (Q)
|
96% |
204894
264.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4234
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43618
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51788
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4638
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2778
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3596
62.1 IPS |
