Mac16,12
Geekbench AI Score
4723
Single Precision Score
36502
Half Precision Score
52077
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
17618
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
25965
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21844
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30217
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123219
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232885
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
18321
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25842
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
43529
517.2 IPS |
|
|
Face Detection (Q)
|
100% |
62860
746.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99258
764.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169008
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25221
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232222
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295563
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48742
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87642
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16375
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18066
312.2 IPS |
