Mac16,12
Geekbench AI Score
4820
Single Precision Score
7879
Half Precision Score
6335
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | April 27 2025 03:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3581
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19461
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16642
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7350
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4321
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14599
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10241
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21723
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38422
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31782
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7240
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7295
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7335
126.8 IPS |
