Mac16,12
Geekbench AI Score
4852
Single Precision Score
36591
Half Precision Score
51661
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | edsvo |
| Upload Date | August 22 2025 10:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
17349
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24140
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21974
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30147
488.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122753
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232030
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
18206
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26439
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43896
521.6 IPS |
|
|
Face Detection (Q)
|
100% |
63331
752.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8683
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99109
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167044
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21728
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232011
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295221
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49543
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85886
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6193
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16604
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18259
315.5 IPS |
