Mac16,12
Geekbench AI Score
4771
Single Precision Score
36872
Half Precision Score
52485
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 04:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
18323
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
26124
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21834
353.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30105
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9655
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123011
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229789
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
19098
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27100
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42282
502.4 IPS |
|
|
Face Detection (Q)
|
100% |
61424
729.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100304
772.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172673
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
22566
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235412
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
322359
416.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53377
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88053
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16018
275.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18432
318.5 IPS |
