Mac16,12
Geekbench AI Score
4792
Single Precision Score
36603
Half Precision Score
51880
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 11 2025 01:46 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17977
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25408
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21547
349.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29953
485.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9871
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122712
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231167
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
19659
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27083
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4213
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
44533
529.2 IPS |
|
|
Face Detection (Q)
|
100% |
63227
751.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99537
766.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171712
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21436
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233790
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300804
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50181
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86584
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5739
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17096
294.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18272
315.8 IPS |
