Mac16,12
Geekbench AI Score
4803
Single Precision Score
36667
Half Precision Score
52254
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17101
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24882
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21977
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30306
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122740
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231978
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
18652
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26275
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4192
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
44233
525.6 IPS |
|
|
Face Detection (Q)
|
100% |
64040
760.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98974
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168353
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230927
296.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297500
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49694
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85471
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6647
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16459
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18123
313.2 IPS |
