Mac16,12
Geekbench AI Score
4724
Single Precision Score
36125
Half Precision Score
51468
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 12 2025 02:10 PM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
17495
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25165
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21198
343.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29178
473.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123236
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233360
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
18435
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26200
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
38026
451.8 IPS |
|
|
Face Detection (Q)
|
100% |
60883
723.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99343
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167661
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25232
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233011
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298619
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50887
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86789
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6162
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16278
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17945
310.1 IPS |
