Mac16,1
Geekbench AI Score
4880
Single Precision Score
7808
Half Precision Score
6330
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | January 14 2026 05:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3286
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3579
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9837
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19340
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16611
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.6 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
4331
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13869
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9808
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23846
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38272
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31680
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7573
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7510
129.8 IPS |
