Mac16,10
Geekbench AI Score
4736
Single Precision Score
36947
Half Precision Score
51577
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 09:53 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
18181
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24943
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21252
344.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30238
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124428
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233448
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
18516
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25889
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
44100
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
61432
730.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8424
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99283
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169305
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25514
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234003
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299141
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50774
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83627
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6226
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6181
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18174
314.1 IPS |
