Mac16,12
Geekbench AI Score
4869
Single Precision Score
36572
Half Precision Score
51041
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 03:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2105
391.5 IPS |
|
|
Image Classification (HP)
|
100% |
17349
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24663
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22058
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30221
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122343
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232717
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
18153
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25602
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
43886
521.5 IPS |
|
|
Face Detection (Q)
|
100% |
57112
678.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98986
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167519
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21911
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231537
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296268
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49558
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84481
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16541
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18245
315.3 IPS |
