Mac16,10
Geekbench AI Score
4734
Single Precision Score
36994
Half Precision Score
51853
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
17078
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
25127
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21928
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30082
487.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124184
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233181
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
18653
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26786
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
44155
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
61568
731.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99969
770.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170605
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25473
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236141
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300155
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50977
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83151
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6332
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6206
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18296
316.2 IPS |
