Mac16,12
Geekbench AI Score
4784
Single Precision Score
37217
Half Precision Score
52445
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | oldnick |
| Upload Date | July 13 2025 03:05 PM |
| Views | 7 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
17825
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25781
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22081
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30331
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9884
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122650
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231507
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
19015
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26771
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
43989
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
62922
747.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100839
776.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168479
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21403
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234033
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297055
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49390
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86875
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6532
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6483
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16587
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18316
316.5 IPS |
