Mac16,12
Geekbench AI Score
4699
Single Precision Score
35811
Half Precision Score
50865
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 01:11 PM |
| Views | 3 |
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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
17400
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24195
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21319
345.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28862
467.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9493
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122686
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230703
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
17885
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25971
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41274
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
60687
721.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8174
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98419
758.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167806
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22395
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234277
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322649
416.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52107
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86273
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5711
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15059
259.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17115
295.8 IPS |
