Mac16,3
Geekbench AI Score
4686
Single Precision Score
36522
Half Precision Score
51100
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
17251
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24959
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21960
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30330
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123439
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232554
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
18217
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26310
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
43588
517.9 IPS |
|
|
Face Detection (Q)
|
100% |
58647
696.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97714
752.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168942
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25041
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234396
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296555
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49220
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82737
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18105
312.9 IPS |
