Mac16,10
Geekbench AI Score
4583
Single Precision Score
36858
Half Precision Score
52781
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:46 PM |
| Views | 20 |
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% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
17749
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
27336
5.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21965
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30025
486.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9559
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123582
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233296
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
19075
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27296
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
42108
500.3 IPS |
|
|
Face Detection (Q)
|
100% |
60804
722.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8160
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100273
772.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
173568
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24787
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232917
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301808
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50963
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88370
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6555
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15507
267.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17401
300.7 IPS |
