Mac16,12
Geekbench AI Score
4797
Single Precision Score
36238
Half Precision Score
51554
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | April 10 2025 09:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17312
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25051
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21895
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30451
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9967
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122353
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230461
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
18242
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25742
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43977
522.5 IPS |
|
|
Face Detection (Q)
|
100% |
63734
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98941
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166996
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21567
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232268
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297678
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48816
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84036
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6165
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16283
280.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17856
308.6 IPS |
