Mac16,12
Geekbench AI Score
4383
Single Precision Score
35516
Half Precision Score
50530
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | galexandrov |
| Upload Date | July 11 2025 04:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
17627
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
24735
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21697
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29261
474.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9007
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122697
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230953
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
15070
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
26196
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
42915
509.9 IPS |
|
|
Face Detection (Q)
|
100% |
62286
740.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7504
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99095
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
154055
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
15464
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236024
303.4 IPS |
|
|
Style Transfer (Q)
|
96% |
318407
410.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51884
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88641
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15616
269.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17154
296.4 IPS |
