Mac16,10
Geekbench AI Score
4722
Single Precision Score
36216
Half Precision Score
50309
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:30 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
16882
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23569
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21788
353.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30219
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123702
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232794
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
18154
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25253
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43501
516.9 IPS |
|
|
Face Detection (Q)
|
100% |
61695
733.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8362
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99410
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167248
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25426
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232242
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297729
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49024
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82232
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16161
278.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17664
305.2 IPS |
