Mac16,10
Geekbench AI Score
4754
Single Precision Score
35437
Half Precision Score
49223
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Liep |
| Upload Date | November 19 2024 04:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A8332) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2058
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
17296
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24121
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16386
265.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20443
331.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123619
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231536
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
18272
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26241
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
43490
516.8 IPS |
|
|
Face Detection (Q)
|
100% |
58810
698.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99059
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169046
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25548
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230242
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296546
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49480
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84554
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18184
314.2 IPS |
