Mac16,12
Geekbench AI Score
4767
Single Precision Score
37447
Half Precision Score
52938
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 05:18 PM |
| Views | 2 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
18734
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
26949
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22497
364.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30965
502.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9975
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122611
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232012
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
100% |
19346
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26718
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
44185
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
64087
761.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99695
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167696
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
19413
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234779
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
321622
415.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5970
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53284
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86438
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17020
293.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18873
326.2 IPS |
