Mac16,1
Geekbench AI Score
4840
Single Precision Score
36821
Half Precision Score
52367
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | January 14 2026 06:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17966
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24593
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21640
350.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30912
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9854
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122985
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232538
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18791
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26842
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
43139
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
64017
760.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100474
774.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171797
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23921
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233582
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323547
417.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52979
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88444
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16183
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18640
322.1 IPS |
