Mac16,12
Geekbench AI Score
4837
Single Precision Score
36473
Half Precision Score
52140
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
17241
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
26876
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21328
345.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29304
475.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122817
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231410
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
18204
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26337
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4142
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
43136
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
62969
748.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99256
764.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163278
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23227
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237850
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
322089
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52716
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87962
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16425
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18425
318.4 IPS |
