Mac16,12
Geekbench AI Score
4742
Single Precision Score
38377
Half Precision Score
54912
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 16 2025 07:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
19074
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
28565
5.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21286
345.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28857
467.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122815
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231746
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
19212
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
27767
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
44079
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
63806
758.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99674
767.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170411
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21301
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234297
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298136
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50219
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
92950
3.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
8010
10.7 KIPS |
|
|
Text Classification (Q)
|
93% |
8107
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17473
301.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19239
332.5 IPS |
