Mac16,12
Geekbench AI Score
4808
Single Precision Score
36776
Half Precision Score
51760
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 08 2025 03:38 AM |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
17550
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25498
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22088
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30468
493.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122487
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231608
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
18411
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25911
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43981
522.6 IPS |
|
|
Face Detection (Q)
|
100% |
63851
758.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8595
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99308
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168663
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21687
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235741
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298332
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6138
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49405
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83281
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6031
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16610
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18349
317.1 IPS |
