Mac16,1
Geekbench AI Score
9104
Single Precision Score
10693
Half Precision Score
10006
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | January 14 2026 05:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4823
897.0 IPS |
|
|
Image Classification (HP)
|
100% |
5129
953.9 IPS |
|
|
Image Classification (Q)
|
96% |
4404
822.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7351
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8461
137.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8191
132.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27971
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31359
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30309
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4279
339.4 IPS |
|
|
Object Detection (HP)
|
100% |
4877
386.8 IPS |
|
|
Object Detection (Q)
|
92% |
4431
353.7 IPS |
|
|
Face Detection (SP)
|
100% |
10778
128.1 IPS |
|
|
Face Detection (HP)
|
100% |
13608
161.7 IPS |
|
|
Face Detection (Q)
|
100% |
11129
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18354
141.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20021
154.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17606
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53144
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65221
83.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63483
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11526
425.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11502
424.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8968
331.1 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2598
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3313
57.3 IPS |
