Mac16,10
Geekbench AI Score
4448
Single Precision Score
36796
Half Precision Score
52295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:16 PM |
| Views | 14 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
17746
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
26712
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21698
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29600
479.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9604
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
124020
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232026
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18824
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27108
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
41142
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57868
687.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8092
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99845
769.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172211
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24560
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235419
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300301
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50798
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88327
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6656
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6659
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15482
266.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17477
302.0 IPS |
