Mac16,12
Geekbench AI Score
4726
Single Precision Score
37522
Half Precision Score
53034
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | asnaprik |
| Upload Date | May 10 2025 08:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.99 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
17313
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
26603
4.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21672
351.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30011
486.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9749
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122782
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230754
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
19226
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26778
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43371
515.3 IPS |
|
|
Face Detection (Q)
|
100% |
60594
720.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99784
768.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169994
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20598
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234436
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299168
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51739
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90527
3.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7036
9.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6969
9.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16910
291.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18355
317.2 IPS |
