Mac16,10
Geekbench AI Score
4748
Single Precision Score
36921
Half Precision Score
51718
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 10:29 PM |
| Views | 6 |
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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
17565
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26356
4.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21383
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29482
477.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124321
145.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233729
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18570
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25942
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43908
521.7 IPS |
|
|
Face Detection (Q)
|
100% |
61692
733.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98990
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169220
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25415
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234037
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299207
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49649
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84292
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16487
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18223
314.9 IPS |
