Mac16,12
Geekbench AI Score
4792
Single Precision Score
36547
Half Precision Score
52080
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:09 AM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
16725
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
24992
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21298
345.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29004
470.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122537
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231728
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18304
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26427
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4142
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
43758
519.9 IPS |
|
|
Face Detection (Q)
|
100% |
65524
778.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99639
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169604
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21535
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234469
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296950
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49514
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83934
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6288
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4385
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17134
295.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18989
328.2 IPS |
