Mac16,12
Geekbench AI Score
4926
Single Precision Score
35888
Half Precision Score
50374
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Sabhya_Aggarwal |
| Upload Date | November 22 2025 06:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
16546
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22996
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22398
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30009
486.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122754
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232316
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
17961
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25315
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43043
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
61182
727.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99159
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164523
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24332
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231198
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319629
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50339
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84559
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16348
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17924
309.8 IPS |
