Mac16,3
Geekbench AI Score
4686
Single Precision Score
36188
Half Precision Score
51177
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 11:02 PM |
| Views | 29 |
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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
17236
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24279
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21168
343.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30301
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9825
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123120
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232084
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
18226
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25984
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
42831
508.9 IPS |
|
|
Face Detection (Q)
|
100% |
60719
721.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98827
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168302
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25102
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234420
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295785
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48934
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85396
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18081
312.5 IPS |
