Mac16,1
Geekbench AI Score
4860
Single Precision Score
37272
Half Precision Score
52730
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | November 08 2025 07:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
18064
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
27191
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22290
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30771
498.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9930
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123330
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233647
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
19650
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27090
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4097
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
43437
516.1 IPS |
|
|
Face Detection (Q)
|
100% |
62150
738.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99676
767.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165095
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23772
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234404
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320687
413.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53437
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90783
3.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5752
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17002
292.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18659
322.5 IPS |
