Mac16,10
Geekbench AI Score
4565
Single Precision Score
36907
Half Precision Score
53008
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:22 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
17889
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
26175
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21718
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30112
488.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9620
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123656
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233449
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
18665
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27087
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
43624
518.3 IPS |
|
|
Face Detection (Q)
|
100% |
65000
772.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99781
768.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172548
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24716
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233210
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301801
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50506
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89970
3.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6599
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15562
268.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17490
302.2 IPS |
