Mac16,1
Geekbench AI Score
4693
Single Precision Score
37333
Half Precision Score
53142
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | November 10 2024 09:52 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
1968
366.0 IPS |
|
|
Image Classification (HP)
|
100% |
18909
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
29104
5.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21936
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30409
493.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123826
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232722
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18738
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26419
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
43487
516.7 IPS |
|
|
Face Detection (Q)
|
100% |
61544
731.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8252
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99765
768.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170595
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25232
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233843
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298702
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49544
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85699
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6565
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17056
293.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18710
323.3 IPS |
