Mac16,12
Geekbench AI Score
4817
Single Precision Score
36683
Half Precision Score
51634
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | batu69 |
| Upload Date | September 02 2025 01:53 AM |
| Views | 7 |
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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
17693
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
27142
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21173
343.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30167
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122709
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232169
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
18725
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26562
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
43890
521.5 IPS |
|
|
Face Detection (Q)
|
100% |
57473
682.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99239
764.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167926
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21671
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234888
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297157
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6148
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49578
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83163
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6176
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16446
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18110
313.0 IPS |
