Mac16,12
Geekbench AI Score
4792
Single Precision Score
36149
Half Precision Score
51622
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CrazyAndyLUX |
| Upload Date | May 19 2025 10:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
17092
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24658
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22002
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30358
492.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122670
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231303
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18305
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25625
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4113
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
38852
461.6 IPS |
|
|
Face Detection (Q)
|
100% |
63345
752.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99010
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167705
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21620
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233257
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295811
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49345
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83306
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16593
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18212
314.7 IPS |
