Mac16,10
Geekbench AI Score
4751
Single Precision Score
32498
Half Precision Score
40872
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 16 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
17343
3.23 KIPS |
|
|
Image Classification (Q)
|
99% |
19170
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17007
275.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
16749
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
119324
139.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
227155
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
17099
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
25751
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
27327
324.7 IPS |
|
|
Face Detection (Q)
|
100% |
48094
571.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
83526
643.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
92756
717.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25469
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169738
218.2 IPS |
|
|
Style Transfer (Q)
|
100% |
170034
218.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49712
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82261
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6896
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18140
313.5 IPS |
