Mac16,13
Geekbench AI Score
4796
Single Precision Score
37408
Half Precision Score
52602
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nv_ |
| Upload Date | June 07 2025 08:18 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 | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17317
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
26052
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21907
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30013
486.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123155
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231256
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18455
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27000
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
44269
526.0 IPS |
|
|
Face Detection (Q)
|
100% |
65508
778.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99710
768.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169435
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21499
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234068
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297217
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49970
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87888
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
7336
9.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6228
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16434
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18400
318.0 IPS |
