Mac16,12
Geekbench AI Score
4721
Single Precision Score
36916
Half Precision Score
53064
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nerd0017 |
| Upload Date | April 08 2025 08:05 AM |
| Views | 6 |
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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
17671
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25961
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22159
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29313
475.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123172
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233151
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
18557
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25832
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
43594
518.0 IPS |
|
|
Face Detection (Q)
|
100% |
62921
747.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99860
769.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169021
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25304
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231333
297.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298560
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50185
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87364
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6294
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
7673
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16512
284.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18148
313.6 IPS |
