Mac16,1
Geekbench AI Score
9232
Single Precision Score
11132
Half Precision Score
9906
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Digiato |
| Upload Date | November 27 2024 02:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
4580
851.8 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.8 IPS |
|
|
Image Classification (Q)
|
97% |
4385
818.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4959
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7568
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29806
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32087
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30540
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4984
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5423
430.1 IPS |
|
|
Object Detection (Q)
|
91% |
4652
371.7 IPS |
|
|
Face Detection (SP)
|
100% |
13098
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
16776
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
12426
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21449
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23978
184.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19864
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60029
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71905
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67707
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12322
455.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13735
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10710
395.5 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5443
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5487
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1966
34.0 IPS |
